{"id":44511,"date":"2025-10-28T18:43:50","date_gmt":"2025-10-28T13:13:50","guid":{"rendered":"https:\/\/mobisoftinfotech.com\/resources\/?p=44511"},"modified":"2026-03-09T19:16:42","modified_gmt":"2026-03-09T13:46:42","slug":"develop-use-mcp-server-ai-agents-maven-guide","status":"publish","type":"post","link":"https:\/\/mobisoftinfotech.com\/resources\/blog\/ai-development\/develop-use-mcp-server-ai-agents-maven-guide","title":{"rendered":"How to Develop and Use MCP Server in your AI Agents: A Complete Guide with Maven Vulnerability Scanner Example"},"content":{"rendered":"<p>Model Context Protocol (MCP) is an open standard developed by Anthropic that enables AI assistants to connect with external tools and data sources. If you&#8217;ve ever desired to enhance the abilities of AI assistants such as Claude, GPT, or Gemini with personalized features, the MCP server implementation is the way to do it.<\/p>\n\n\n\n<p>Starting from the very beginning, this guide will teach you how to set up the MCP server and use it effectively. We will walk through a hands-on MCP server tutorial using a practical example of a Maven vulnerability scanner that flags security issues in your Java projects. By the end of this guide, you will have a thorough understanding of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>What MCP is and how it works<\/li>\n\n\n\n<li>How to create your own MCP server<\/li>\n\n\n\n<li>How to connect clients to your MCP server<\/li>\n\n\n\n<li>How to integrate MCP with popular LLMs like Claude, GPT, and Gemini<\/li>\n<\/ul>\n\n\n\n<p>For enterprises looking to streamline AI tool integration, explore our <a href=\"https:\/\/mobisoftinfotech.com\/services\/mcp-server-development-consultation?utm_source=blog&amp;utm_campaign=develop-use-mcp-server-ai-agents-maven-guide\">MCP Server development services<\/a> to build scalable, production-ready solutions.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/mobisoftinfotech.com\/services\/mcp-server-development-consultation?utm_source=blog_cta&amp;utm_campaign=develop-use-mcp-server-ai-agents-maven-guide\"><noscript><img decoding=\"async\" width=\"855\" height=\"363\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/deploy-scalable-ai-agents-with-mcp-server.png\" alt=\"Call-to-action banner to deploy scalable AI agents using MCP server\" class=\"wp-image-44513\" title=\"Deploy Scalable AI Agents with MCP Server\"><\/noscript><img decoding=\"async\" width=\"855\" height=\"363\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20855%20363%22%3E%3C%2Fsvg%3E\" alt=\"Call-to-action banner to deploy scalable AI agents using MCP server\" class=\"wp-image-44513 lazyload\" title=\"Deploy Scalable AI Agents with MCP Server\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/deploy-scalable-ai-agents-with-mcp-server.png\"><\/a><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What is Model Context Protocol (MCP)?<\/strong><\/h2>\n\n\n\n<p>The model context protocol MCP server is a uniform protocol enabling AI assistants to engage with external tools and services. It acts as a bridge between the real users and AI models, allowing consistent and secure communication.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Key Benefits<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Standardized Communication<\/strong>: One protocol works with multiple AI assistants<\/li>\n\n\n\n<li><strong>Extensible<\/strong>: Create custom tools for your specific needs<\/li>\n\n\n\n<li><strong>Built-in Features<\/strong>: Progress tracking, logging, and error handling<\/li>\n\n\n\n<li><strong>Transport Agnostic<\/strong>: Works with all sorts of transport mechanisms, such as HTTP and stdio.<\/li>\n\n\n\n<li><strong>Language Support<\/strong>: Available in Python, TypeScript, and other languages<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>How MCP Works<\/strong><\/h3>\n\n\n\n<p>MCP follows a client-server architecture:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>MCP Server<\/strong>: Exposes tools (functions) that perform specific tasks<\/li>\n\n\n\n<li><strong>MCP Client<\/strong>: Connects to the server and calls tools<\/li>\n\n\n\n<li><strong>AI Assistant<\/strong>: Uses the client to invoke tools and process results<\/li>\n<\/ol>\n\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"800\" height=\"422\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/model-context-protocol-mcp-server-architecture.jpg\" alt class=\"wp-image-44533\" title=\"Model Context Protocol MCP Server Architecture\"><\/noscript><img decoding=\"async\" width=\"800\" height=\"422\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20800%20422%22%3E%3C%2Fsvg%3E\" alt class=\"wp-image-44533 lazyload\" title=\"Model Context Protocol MCP Server Architecture\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/model-context-protocol-mcp-server-architecture.jpg\"><\/figure>\n\n\n\n<p>This MCP server configuration ensures that your AI assistant can handle complex tasks without relying on multiple APIs or middleware.<\/p>\n\n\n\n<p>Learn how MCP enhances intelligent workflows through our<a href=\"https:\/\/mobisoftinfotech.com\/services\/artificial-intelligence?utm_source=blog&amp;utm_campaign=develop-use-mcp-server-ai-agents-maven-guide\"> AI agent development<\/a> and integration services designed for scalable automation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Setting Up Your Development Environment for MCP Server Implementation<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"855\" height=\"496\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/mcp-server-architecture-diagram.png\" alt=\"Diagram displaying MCP server architecture and AI agent connection model\n\" class=\"wp-image-44515\" title=\"MCP Server Architecture Explained\"><\/noscript><img decoding=\"async\" width=\"855\" height=\"496\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20855%20496%22%3E%3C%2Fsvg%3E\" alt=\"Diagram displaying MCP server architecture and AI agent connection model\n\" class=\"wp-image-44515 lazyload\" title=\"MCP Server Architecture Explained\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/mcp-server-architecture-diagram.png\"><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Prerequisites<\/strong><\/h3>\n\n\n\n<p>Before we start, make sure you have:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Python 3.10 or higher<\/li>\n\n\n\n<li>pip (Python package manager)<\/li>\n\n\n\n<li>A text editor or IDE<\/li>\n\n\n\n<li>API key for Gemini or OpenAI (for the chat client)<\/li>\n<\/ul>\n\n\n\n<p>This setup helps ensure a smooth MCP server setup experience before moving into full MCP server implementation and testing phases.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Installing MCP SDK to Begin AI Agent Server Setup<\/strong><\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"855\" height=\"551\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/before-vs-after-mcp-server.png\" alt=\" Comparison chart showing performance before and after MCP server implementation\" class=\"wp-image-44516\" title=\"Before and After MCP Server Configuration\"><\/noscript><img decoding=\"async\" width=\"855\" height=\"551\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20855%20551%22%3E%3C%2Fsvg%3E\" alt=\" Comparison chart showing performance before and after MCP server implementation\" class=\"wp-image-44516 lazyload\" title=\"Before and After MCP Server Configuration\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/before-vs-after-mcp-server.png\"><\/figure>\n\n\n\n<p>Set up a virtual environment and start working in a new project directory:<\/p>\n\n\n<pre class=\"wp-block-code\"><span><code class=\"hljs\">mkdir maven-vulnerability-scanner\ncd maven-vulnerability-scanner\npython3 -m venv venv\nsource venv\/bin\/activate\n\nInstall the required packages:\npip3 install -r requirements.txt<\/code><\/span><\/pre>\n\n\n<h3 class=\"wp-block-heading\"><strong>Project Structure<\/strong><\/h3>\n\n\n\n<p>Create the following structure:<\/p>\n\n\n<pre class=\"wp-block-code\"><span><code class=\"hljs\">maven-vulnerability-scanner\/\n\u251c\u2500\u2500 server.py\n\u251c\u2500\u2500 lightllm_maven_scanner.py\n\u251c\u2500\u2500 scan_pom.py\n\u251c\u2500\u2500 requirements.txt\n\u251c\u2500\u2500 .env\n\u2514\u2500\u2500 sample-pom.xml<\/code><\/span><\/pre>\n\n\n<h2 class=\"wp-block-heading\"><strong>Building Your First MCP Server for AI Integration<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"855\" height=\"363\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/maven-vulnerability-scanner-process.png\" alt=\"Flowchart showing Maven dependency vulnerability check process using MCP server\" class=\"wp-image-44517\" title=\"Maven Dependency Vulnerability Check Process\"><\/noscript><img decoding=\"async\" width=\"855\" height=\"363\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20855%20363%22%3E%3C%2Fsvg%3E\" alt=\"Flowchart showing Maven dependency vulnerability check process using MCP server\" class=\"wp-image-44517 lazyload\" title=\"Maven Dependency Vulnerability Check Process\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/maven-vulnerability-scanner-process.png\"><\/figure>\n\n\n\n<p>Let\u2019s build an MCP server model context protocol that scans Maven pom.xml files for security vulnerabilities using the OSV (Open Source Vulnerabilities) database.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 1: Create the Server Base<\/strong><\/h3>\n\n\n\n<p>Create server.py and start with the basic server setup:<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-1\" data-shcb-language-name=\"JavaScript\" data-shcb-language-slug=\"javascript\"><span><code class=\"hljs language-javascript\"><span class=\"hljs-keyword\">from<\/span> mcp.server <span class=\"hljs-keyword\">import<\/span> Server\n<span class=\"hljs-keyword\">from<\/span> mcp.types <span class=\"hljs-keyword\">import<\/span> Tool, TextContent\n<span class=\"hljs-keyword\">import<\/span> mcp.server.stdio\n<span class=\"hljs-keyword\">import<\/span> asyncio\n<span class=\"hljs-keyword\">import<\/span> xml.etree.ElementTree <span class=\"hljs-keyword\">as<\/span> ET\n<span class=\"hljs-keyword\">import<\/span> httpx\n\nserver = Server(<span class=\"hljs-string\">\"maven_vulnerability_scanner\"<\/span>)<\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-1\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">JavaScript<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">javascript<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<p>This creates an MCP server named &#8220;maven_vulnerability_scanner&#8221;.<\/p>\n\n\n\n<p>You can also refer to our in-depth article on<a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/ai-development\/ai-agent-development-mcp-server-integration-deployment?utm_source=blog&amp;utm_campaign=develop-use-mcp-server-ai-agents-maven-guide\"> AI Agent Development with MCP Server<\/a> for additional hands-on examples and real-world deployment insights.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 2: Define Your Tool<\/strong><\/h3>\n\n\n\n<p>MCP servers expose tools that clients can call. Let&#8217;s define our vulnerability scanning tool:<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-2\" data-shcb-language-name=\"JavaScript\" data-shcb-language-slug=\"javascript\"><span><code class=\"hljs language-javascript\">@server.list_tools()\n<span class=\"hljs-keyword\">async<\/span> def handle_list_tools():\n    <span class=\"hljs-keyword\">return<\/span> &#091;\n        Tool(\n            name=<span class=\"hljs-string\">\"scan_pom_vulnerabilities\"<\/span>,\n            description=<span class=\"hljs-string\">\"Scans a Maven pom.xml file for vulnerable dependencies using OSV database\"<\/span>,\n            inputSchema={\n                <span class=\"hljs-string\">\"type\"<\/span>: <span class=\"hljs-string\">\"object\"<\/span>,\n                <span class=\"hljs-string\">\"properties\"<\/span>: {\n                    <span class=\"hljs-string\">\"pom_content\"<\/span>: {\n                        <span class=\"hljs-string\">\"type\"<\/span>: <span class=\"hljs-string\">\"string\"<\/span>,\n                        <span class=\"hljs-string\">\"description\"<\/span>: <span class=\"hljs-string\">\"The complete content of the pom.xml file to scan\"<\/span>\n                    }\n                },\n                <span class=\"hljs-string\">\"required\"<\/span>: &#091;<span class=\"hljs-string\">\"pom_content\"<\/span>]\n            }\n        )\n    ]<\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-2\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">JavaScript<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">javascript<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<p>This tells clients that our server has one tool called scan_pom_vulnerabilities that accepts pom_content as input.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 3: Implement Tool Logic<\/strong><\/h3>\n\n\n\n<p>Now implement the actual scanning functionality:<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-3\" data-shcb-language-name=\"JavaScript\" data-shcb-language-slug=\"javascript\"><span><code class=\"hljs language-javascript\">def parse_pom_xml(pom_content: str):\n    root = ET.fromstring(pom_content)\n\n    namespaces = {<span class=\"hljs-string\">'maven'<\/span>: <span class=\"hljs-string\">'http:\/\/maven.apache.org\/POM\/4.0.0'<\/span>}\n    <span class=\"hljs-keyword\">if<\/span> root.tag.startswith(<span class=\"hljs-string\">'{'<\/span>):\n        ns = root.tag&#091;<span class=\"hljs-number\">1<\/span>:root.tag.index(<span class=\"hljs-string\">'}'<\/span>)]\n        namespaces&#091;<span class=\"hljs-string\">'maven'<\/span>] = ns\n\n    dependencies = &#091;]\n    deps = root.findall(<span class=\"hljs-string\">'.\/\/maven:dependency'<\/span>, namespaces\n\n    <span class=\"hljs-keyword\">for<\/span> dep <span class=\"hljs-keyword\">in<\/span> deps:\n        group_id = dep.find(<span class=\"hljs-string\">'maven:groupId'<\/span>, namespaces)\n        artifact_id = dep.find(<span class=\"hljs-string\">'maven:artifactId'<\/span>, namespaces)\n        version = dep.find(<span class=\"hljs-string\">'maven:version'<\/span>, namespaces)\n\n        <span class=\"hljs-keyword\">if<\/span> group_id is not None and artifact_id is not None and version is not None:\n            dependencies.append({\n                <span class=\"hljs-string\">'groupId'<\/span>: group_id.text,\n                <span class=\"hljs-string\">'artifactId'<\/span>: artifact_id.text,\n                <span class=\"hljs-string\">'version'<\/span>: version.text\n            })\n\n    <span class=\"hljs-keyword\">return<\/span> dependencies\n\n<span class=\"hljs-keyword\">async<\/span> def check_vulnerability_osv(group_id: str, <span class=\"hljs-attr\">artifact_id<\/span>: str, <span class=\"hljs-attr\">version<\/span>: str):\n    package_name = f<span class=\"hljs-string\">\"{group_id}:{artifact_id}\"<\/span>\n\n    <span class=\"hljs-keyword\">async<\/span> <span class=\"hljs-keyword\">with<\/span> httpx.AsyncClient(timeout=<span class=\"hljs-number\">30.0<\/span>) <span class=\"hljs-keyword\">as<\/span> client:\n        response = <span class=\"hljs-keyword\">await<\/span> client.post(\n            <span class=\"hljs-string\">\"https:\/\/api.osv.dev\/v1\/query\"<\/span>,\n            json={\n                <span class=\"hljs-string\">\"package\"<\/span>: {\n                    <span class=\"hljs-string\">\"name\"<\/span>: package_name,\n                    <span class=\"hljs-string\">\"ecosystem\"<\/span>: <span class=\"hljs-string\">\"Maven\"<\/span>\n                },\n                <span class=\"hljs-string\">\"version\"<\/span>: version\n            }\n        )\n\n        <span class=\"hljs-keyword\">if<\/span> response.status_code == <span class=\"hljs-number\">200<\/span>:\n            data = response.json()\n            vulnerabilities = data.get(<span class=\"hljs-string\">'vulns'<\/span>, &#091;])\n\n            <span class=\"hljs-keyword\">return<\/span> {\n                <span class=\"hljs-string\">'groupId'<\/span>: group_id,\n                <span class=\"hljs-string\">'artifactId'<\/span>: artifact_id,\n                <span class=\"hljs-string\">'version'<\/span>: version,\n                <span class=\"hljs-string\">'vulnerable'<\/span>: len(vulnerabilities) &gt; <span class=\"hljs-number\">0<\/span>,\n                <span class=\"hljs-string\">'vulnerabilities'<\/span>: vulnerabilities\n            }<\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-3\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">JavaScript<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">javascript<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 4: Handle Tool Calls with Progress Tracking<\/strong><\/h3>\n\n\n\n<p>One of MCP&#8217;s powerful features is built-in progress tracking. Implement the tool handler:<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-4\" data-shcb-language-name=\"JavaScript\" data-shcb-language-slug=\"javascript\"><span><code class=\"hljs language-javascript\">@server.call_tool()\n<span class=\"hljs-keyword\">async<\/span> def handle_call_tool(name: str, <span class=\"hljs-attr\">arguments<\/span>: dict):\n    <span class=\"hljs-keyword\">if<\/span> name != <span class=\"hljs-string\">\"scan_pom_vulnerabilities\"<\/span>:\n        raise ValueError(f<span class=\"hljs-string\">\"Unknown tool: {name}\"<\/span>)\n\n    pom_content = <span class=\"hljs-built_in\">arguments<\/span>.get(<span class=\"hljs-string\">\"pom_content\"<\/span>)\n    <span class=\"hljs-keyword\">if<\/span> not pom_content:\n        raise ValueError(<span class=\"hljs-string\">\"pom_content is required\"<\/span>)\n\n    <span class=\"hljs-keyword\">await<\/span> server.request_context.session.send_progress_notification(\n        progress_token=<span class=\"hljs-string\">\"scan_progress\"<\/span>,\n        progress=<span class=\"hljs-number\">0<\/span>,\n        total=<span class=\"hljs-number\">100<\/span>\n    )\n\n    dependencies = parse_pom_xml(pom_content)\n    total_deps = len(dependencies)\n\n    <span class=\"hljs-keyword\">await<\/span> server.request_context.session.send_log_message(\n        level=<span class=\"hljs-string\">\"info\"<\/span>,\n        data=f<span class=\"hljs-string\">\"Found {total_deps} dependencies to scan\"<\/span>\n    )\n\n    results = &#091;]\n    <span class=\"hljs-keyword\">for<\/span> idx, dep <span class=\"hljs-keyword\">in<\/span> enumerate(dependencies):\n        <span class=\"hljs-keyword\">await<\/span> server.request_context.session.send_log_message(\n            level=<span class=\"hljs-string\">\"info\"<\/span>,\n            data=f<span class=\"hljs-string\">\"Scanning {idx + 1}\/{total_deps}: {dep&#091;'groupId']}:{dep&#091;'artifactId']}\"<\/span>\n        )\n\n        result = <span class=\"hljs-keyword\">await<\/span> check_vulnerability_osv(\n            dep&#091;<span class=\"hljs-string\">'groupId'<\/span>],\n            dep&#091;<span class=\"hljs-string\">'artifactId'<\/span>],\n            dep&#091;<span class=\"hljs-string\">'version'<\/span>]\n        )\n        results.append(result)\n\n        progress = <span class=\"hljs-number\">10<\/span> + int((idx + <span class=\"hljs-number\">1<\/span>) \/ total_deps * <span class=\"hljs-number\">80<\/span>)\n        <span class=\"hljs-keyword\">await<\/span> server.request_context.session.send_progress_notification(\n            progress_token=<span class=\"hljs-string\">\"scan_progress\"<\/span>,\n            progress=progress,\n            total=<span class=\"hljs-number\">100<\/span>\n        )\n\n    vulnerable_count = sum(<span class=\"hljs-number\">1<\/span> <span class=\"hljs-keyword\">for<\/span> r <span class=\"hljs-keyword\">in<\/span> results <span class=\"hljs-keyword\">if<\/span> r&#091;<span class=\"hljs-string\">'vulnerable'<\/span>])\n\n    report = f<span class=\"hljs-string\">\"Scan Complete\\n\\n\"<\/span>\n    report += f<span class=\"hljs-string\">\"Total Dependencies: {total_deps}\\n\"<\/span>\n    report += f<span class=\"hljs-string\">\"Vulnerable Dependencies: {vulnerable_count}\\n\\n\"<\/span>\n\n    <span class=\"hljs-keyword\">if<\/span> vulnerable_count &gt; <span class=\"hljs-number\">0<\/span>:\n        report += <span class=\"hljs-string\">\"Vulnerabilities Found:\\n\\n\"<\/span>\n        <span class=\"hljs-keyword\">for<\/span> result <span class=\"hljs-keyword\">in<\/span> results:\n            <span class=\"hljs-keyword\">if<\/span> result&#091;<span class=\"hljs-string\">'vulnerable'<\/span>]:\n                report += f<span class=\"hljs-string\">\"- {result&#091;'groupId']}:{result&#091;'artifactId']} v{result&#091;'version']}\\n\"<\/span>\n                <span class=\"hljs-keyword\">for<\/span> vuln <span class=\"hljs-keyword\">in<\/span> result&#091;<span class=\"hljs-string\">'vulnerabilities'<\/span>]:\n                    report += f<span class=\"hljs-string\">\"  - {vuln.get('id', 'N\/A')}: {vuln.get('summary', 'No summary')}\\n\"<\/span>\n\n    <span class=\"hljs-keyword\">return<\/span> &#091;TextContent(type=<span class=\"hljs-string\">\"text\"<\/span>, text=report)]<\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-4\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">JavaScript<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">javascript<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 5: Start the Server<\/strong><\/h3>\n\n\n\n<p>Add the main entry point:<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-5\" data-shcb-language-name=\"JavaScript\" data-shcb-language-slug=\"javascript\"><span><code class=\"hljs language-javascript\"><span class=\"hljs-keyword\">async<\/span> def main():\n    <span class=\"hljs-keyword\">async<\/span> <span class=\"hljs-keyword\">with<\/span> mcp.server.stdio.stdio_server() <span class=\"hljs-keyword\">as<\/span> (read_stream, write_stream):\n        <span class=\"hljs-keyword\">await<\/span> server.run(\n            read_stream,\n            write_stream,\n            server.create_initialization_options()\n        )\n\n<span class=\"hljs-keyword\">if<\/span> __name__ == <span class=\"hljs-string\">\"__main__\"<\/span>:\n    asyncio.run(main())<\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-5\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">JavaScript<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">javascript<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<p>Your MCP server is now ready!<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Creating MCP Clients for Seamless AI Agent Communication<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"855\" height=\"515\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/ai-agents-workflow-with-mcp-server.png\" alt=\" Diagram showing AI agents workflow integrated with MCP server\" class=\"wp-image-44518\" title=\"AI Agents Workflow with MCP Server\"><\/noscript><img decoding=\"async\" width=\"855\" height=\"515\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20855%20515%22%3E%3C%2Fsvg%3E\" alt=\" Diagram showing AI agents workflow integrated with MCP server\" class=\"wp-image-44518 lazyload\" title=\"AI Agents Workflow with MCP Server\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/ai-agents-workflow-with-mcp-server.png\"><\/figure>\n\n\n\n<p>Now that we have a server, let&#8217;s create a client to use it with LLM integration and scalable MCP server deployment for AI agents.<\/p>\n\n\n\n<p>For projects requiring tailored integration or automation solutions, explore our<a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/ai-development\/ai-agent-development-custom-mcp-server-code-review?utm_source=blog&amp;utm_campaign=develop-use-mcp-server-ai-agents-maven-guide\"> Custom MCP Server Development<\/a> insights to learn how to design flexible and secure AI infrastructures.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Interactive Chat Client with LLM Integration Using MCP Server<\/strong><\/h3>\n\n\n\n<p>This is the most powerful client &#8211; it combines MCP with LLMs for natural language interaction.<\/p>\n\n\n\n<p>Create lightllm_maven_scanner.py:<\/p>\n\n\n<pre class=\"wp-block-code\"><span><code class=\"hljs\">import asyncio\nimport os\nimport sys\nimport re\nfrom pathlib import Path\nfrom dotenv import load_dotenv\nimport litellm\nfrom litellm import experimental_mcp_client\nfrom mcp import ClientSession, StdioServerParameters\nfrom mcp.client.stdio import stdio_client\n\nload_dotenv()\n\nLLM_PROVIDER = \"GEMINI\"\nGEMINI_MODEL = \"gemini\/gemini-2.0-flash-exp\"\nOPENAI_MODEL = \"gpt-4o\"\n\ndef get_model_config():\n    if LLM_PROVIDER == \"GEMINI\":\n        return {\n            \"model\": GEMINI_MODEL,\n            \"api_key\": os.getenv(\"GEMINI_API_KEY\"),\n            \"provider_name\": \"Gemini 2.0 Flash\"\n        }\n    elif LLM_PROVIDER == \"OPENAI\":\n        return {\n            \"model\": OPENAI_MODEL,\n            \"api_key\": os.getenv(\"OPENAI_API_KEY\"),\n            \"provider_name\": f\"OpenAI {OPENAI_MODEL}\"\n        }\n\ndef is_file_path(user_input: str) -&gt; bool:\n    stripped = user_input.strip()\n    return (\n        stripped.startswith(\"\/\") or\n        stripped.startswith(\"~\") or\n        stripped.startswith(\".\/\") or\n        stripped.startswith(\"..\/\")\n    )\n\ndef read_pom_file(file_path: str) -&gt; str:\n    path = Path(file_path).expanduser().resolve()\n    with open(path, 'r') as f:\n        return f.read()\n\nasync def process_tool_calls(session: ClientSession, tool_calls: list, messages: list):\n    for tc in tool_calls:\n        name = tc.function.name\n        args = eval(tc.function.arguments)\n\n        print(f\"&#091;MCP] Calling MCP server tool: {name}\")\n        result = await session.call_tool(name, args)\n\n        result_text = result.content&#091;0].text\n\n        messages.append({\n            \"role\": \"tool\",\n            \"tool_call_id\": tc.id,\n            \"name\": name,\n            \"content\": result_text,\n        })\n\nasync def chat_loop(session: ClientSession, llm_tools: list):\n    model_config = get_model_config()\n\n    messages = &#091;{\n        \"role\": \"system\",\n        \"content\": \"You are a security expert assistant. You help analyze Maven dependencies for vulnerabilities. When users provide file paths, automatically load and scan them.\"\n    }]\n\n    print(\"\\nYou can ask questions, provide file paths, or paste pom.xml content.\")\n    print(\"Type 'exit' to quit.\\n\")\n\n    while True:\n        user_input = input(\"You: \").strip()\n\n        if user_input.lower() in &#091;'exit', 'quit']:\n            break\n\n        if is_file_path(user_input):\n            try:\n                pom_content = read_pom_file(user_input)\n                user_input = f\"Please scan this pom.xml file for vulnerabilities:\\n\\n{pom_content}\"\n                print(f\"&#091;File loaded: {user_input}]\")\n            except Exception as e:\n                print(f\"Error reading file: {e}\")\n                continue\n\n        messages.append({\"role\": \"user\", \"content\": user_input})\n\n        response = await litellm.acompletion(\n            model=model_config&#091;\"model\"],\n            messages=messages,\n            tools=llm_tools,\n            tool_choice=\"auto\",\n            temperature=0.1,\n            api_key=model_config&#091;\"api_key\"]\n        )\n\n        response_message = response.choices&#091;0].message\n        messages.append(response_message)\n\n        if response_message.tool_calls:\n            await process_tool_calls(session, response_message.tool_calls, messages)\n\n            follow_up = await litellm.acompletion(\n                model=model_config&#091;\"model\"],\n                messages=messages,\n                temperature=0.1,\n                api_key=model_config&#091;\"api_key\"]\n            )\n\n            assistant_message = follow_up.choices&#091;0].message\n            messages.append(assistant_message)\n            print(f\"\\nAssistant: {assistant_message.content}\\n\")\n        else:\n            print(f\"\\nAssistant: {response_message.content}\\n\")\n\nasync def chat_with_maven_scanner():\n    model_config = get_model_config()\n\n    print(\"=\" * 80)\n    print(\"&#091;MCP] Maven Vulnerability Scanner MCP Integration\")\n    print(f\"&#091;LLM] Using: {model_config&#091;'provider_name']}\")\n    print(\"=\" * 80)\n\n    server_params = StdioServerParameters(\n        command=sys.executable,\n        args=&#091;\"server.py\"],\n        env=None,\n    )\n\n    async with stdio_client(server_params) as (read, write):\n        async with ClientSession(read, write) as session:\n            await session.initialize()\n\n            llm_tools = await experimental_mcp_client.load_mcp_tools(\n                session=session,\n                format=\"openai\"\n            )\n\n            await chat_loop(session, llm_tools)\n\nif __name__ == \"__main__\":\n    asyncio.run(chat_with_maven_scanner()) \n<\/code><\/span><\/pre>\n\n\n<h3 class=\"wp-block-heading\"><strong>Setting Up Environment Variables<\/strong><\/h3>\n\n\n\n<p>Create a .env file:<\/p>\n\n\n<pre class=\"wp-block-code\"><span><code class=\"hljs\">GEMINI_API_KEY=your-gemini-api-key-here\nOPENAI_API_KEY=your-openai-api-key-here<\/code><\/span><\/pre>\n\n\n<h2 class=\"wp-block-heading\"><strong>Using Your MCP Server<\/strong><\/h2>\n\n\n\n<p>Start the interactive client:<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-6\" data-shcb-language-name=\"CSS\" data-shcb-language-slug=\"css\"><span><code class=\"hljs language-css\"><span class=\"hljs-selector-tag\">python3<\/span> <span class=\"hljs-selector-tag\">lightllm_maven_scanner<\/span><span class=\"hljs-selector-class\">.py<\/span><\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-6\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">CSS<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">css<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<p>Example conversation:<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"855\" height=\"1177\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/using-your-mcp-server-step-by-step.png\" alt=\"Screenshot showing how to use MCP server for AI agent development in Maven\n\" class=\"wp-image-44519\" title=\"Using Your MCP Server \u2013 Step-by-Step Tutorial\"><\/noscript><img decoding=\"async\" width=\"855\" height=\"1177\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20855%201177%22%3E%3C%2Fsvg%3E\" alt=\"Screenshot showing how to use MCP server for AI agent development in Maven\n\" class=\"wp-image-44519 lazyload\" title=\"Using Your MCP Server \u2013 Step-by-Step Tutorial\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/using-your-mcp-server-step-by-step.png\"><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Unlocking AI Tools and Automation: Full MCP Server Setup Guide<\/strong><\/h2>\n\n\n\n<p>It is a smarter way to connect AI and engineering for faster, cleaner automation. You now understand how simple it is to build and run an MCP server from the ground up. The Maven vulnerability scanner example proved how useful and expandable this setup can be. What makes MCP stand out is how it creates a standard for AI to connect with your tools, which is why many organizations seek expert MCP consultation before deploying MCP-based AI systems, eliminating the need for complicated APIs or middleware.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Here&#8217;s what you have learnt:<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>MCP servers allow you to build custom, AI-compatible tools that fit right into your workflow.<\/li>\n\n\n\n<li>The Maven vulnerability scanner shows a real-world application of this integration using Maven dependency management and Java vulnerability scanner tools.<\/li>\n\n\n\n<li>MCP helps you create a standard for AI to talk to your systems, without needing extra APIs.<\/li>\n<\/ul>\n\n\n\n<p>It offers a more efficient way to link AI and engineering, leading to quicker and smoother automation.<\/p>\n\n\n\n<p>Want to extend your project further? Learn how to<a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/ai-machine-learning\/build-ai-agents-crewai-framework?utm_source=blog&amp;utm_campaign=develop-use-mcp-server-ai-agents-maven-guide\"> Build AI Agents with CrewAI Framework<\/a> to scale automation and collaboration efficiently.You can explore the complete code implementation and learn how to configure the MCP server tutorial in detail through the <a href=\"https:\/\/github.com\/mobisoftinfotech\/mobisoft-programming-blogs-examples\/tree\/main\/python\/maven-vulnerability-scanner\">GitHub repository<\/a> here.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/mobisoftinfotech.com\/contact-us?utm_source=blog_cta&amp;utm_campaign=develop-use-mcp-server-ai-agents-maven-guide\"><noscript><img decoding=\"async\" width=\"855\" height=\"363\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/build-ai-projects-with-mcp-server-maven.png\" alt=\"Call-to-action for building AI-powered projects using MCP server and Maven\n\" class=\"wp-image-44520\" title=\"Build AI Projects with MCP Server and Maven Integration\"><\/noscript><img decoding=\"async\" width=\"855\" height=\"363\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20855%20363%22%3E%3C%2Fsvg%3E\" alt=\"Call-to-action for building AI-powered projects using MCP server and Maven\n\" class=\"wp-image-44520 lazyload\" title=\"Build AI Projects with MCP Server and Maven Integration\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/build-ai-projects-with-mcp-server-maven.png\"><\/a><\/figure>\n\n\n<div class=\"related-posts-section\"><h2>Related Posts<\/h2><ul class=\"related-posts-list\"><li><a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/ai-development\/ai-chatbot-development-who-owns-intelligence\">The Real Question Isn\u2019t Which Chatbot &#8211; It\u2019s Who Owns the Intelligence<\/a><\/li><li><a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/ai-development\/smart-manufacturing-increase-output\">Hidden Capacity: Unlocking 20% More Manufacturing Output Without New Equipment<\/a><\/li><li><a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/ai-development\/ai-sales-rep-productivity\">30% More Productive Sales Reps: How AI Makes It Possible<\/a><\/li><li><a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/ai-development\/llm-evaluation-for-ai-agent-development\">LLM Evaluation for AI Agent Development<\/a><\/li><li><a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/ai-development\/voice-ai-for-enterprise-workflows\">Voice AI for Enterprise Workflows: A Strategic 2026 Guide<\/a><\/li><li><a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/ai-development\/claude-ai-architecture-production-systems\">Claude AI Architecture for Production Systems<\/a><\/li><\/ul><\/div>\n\n\n<div class=\"modern-author-card\">\n    <div class=\"author-card-content\">\n        <div class=\"author-info-section\">\n            <div class=\"author-avatar\">\n                <noscript><img decoding=\"async\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2024\/12\/Pratik.png\" alt=\"Pratik Kale\"><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt=\"Pratik Kale\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2024\/12\/Pratik.png\" class=\" lazyload\">\n            <\/div>\n            <div class=\"author-details\">\n                <h3 class=\"author-name\">Pratik Kale<\/h3>\n                <p class=\"author-title\">Web and Cloud Technology Team Lead<\/p>\n                <a href=\"javascript:void(0);\" class=\"read-more-link read-more-btn\" onclick=\"toggleAuthorBio(this); return false;\">Read more <noscript><img decoding=\"async\" src=\"\/assets\/images\/blog\/Vector.png\" alt=\"expand\" class=\"read-more-arrow down-arrow\"><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt=\"expand\" class=\"read-more-arrow down-arrow lazyload\" data-src=\"\/assets\/images\/blog\/Vector.png\"><\/a>\n                <div class=\"author-bio-expanded\">\n                    <p>Pratik Kale leads the Web and Cloud technology team at <a href=\"https:\/\/mobisoftinfotech.com\" target=\"_blank\" rel=\"noopener\">Mobisoft Infotech<\/a>. With 14 years of experience, he specializes in building complex software systems, particularly focusing on backend development and cloud computing. He is an expert in programming languages like Java and Node.js, and frameworks like Spring Boot. Pratik creates technology solutions that not only solve current business problems but are also designed to handle future challenges.<\/p>\n                    <div class=\"author-social-links\"><div class=\"social-icon\"><a href=\"https:\/\/www.linkedin.com\/in\/kale-pratik\/\" target=\"_blank\" rel=\"nofollow noopener\"><i class=\"icon-sprite linkedin\"><\/i><\/a>\n                     <a href=\"https:\/\/x.com\/kalepratikp\" target=\"_blank\" rel=\"nofollow noopener\"><i class=\"icon-sprite twitter\"><\/i><\/a><\/div><\/div>\n                    <a href=\"javascript:void(0);\" class=\"read-more-link read-less-btn\" onclick=\"toggleAuthorBio(this); return false;\" style=\"display: none;\">Read less <noscript><img decoding=\"async\" src=\"\/assets\/images\/blog\/Vector.png\" alt=\"collapse\" class=\"read-more-arrow up-arrow\"><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt=\"collapse\" class=\"read-more-arrow up-arrow lazyload\" data-src=\"\/assets\/images\/blog\/Vector.png\"><\/a>\n                <\/div>\n            <\/div>\n        <\/div>\n        <div class=\"share-section\">\n            <span class=\"share-label\">Share Article<\/span>\n            <div class=\"social-share-buttons\">\n                <a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https%3A%2F%2Fmobisoftinfotech.com%2Fresources%2Fblog%2Fai-development%2Fdevelop-use-mcp-server-ai-agents-maven-guide\" target=\"_blank\" class=\"share-btn facebook-share\"><i class=\"fa fa-facebook-f\"><\/i><\/a>\n                <a href=\"https:\/\/www.linkedin.com\/sharing\/share-offsite\/?url=https%3A%2F%2Fmobisoftinfotech.com%2Fresources%2Fblog%2Fai-development%2Fdevelop-use-mcp-server-ai-agents-maven-guide\" target=\"_blank\" class=\"share-btn linkedin-share\"><i class=\"fa fa-linkedin\"><\/i><\/a>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"Article\",\n  \"mainEntityOfPage\": {\n    \"@type\": \"WebPage\",\n    \"@id\": \"https:\/\/mobisoftinfotech.com\/resources\/blog\/ai-development\/develop-use-mcp-server-ai-agents-maven-guide\"\n  },\n  \"headline\": \"How to Develop and Use MCP Server in your AI Agents: A Complete Guide with Maven Vulnerability Scanner Example\",\n  \"description\": \"Step-by-step guide to develop and use MCP Server in AI Agents with a Maven Vulnerability Scanner example for secure and efficient AI development.\",\n  \"image\": \"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/10\/opensearch-java-client-spring-boot-search-integration\",\n  \"author\": {\n    \"@type\": \"Person\",\n    \"name\": \"Pratik Kale\",\n    \"description\": \"Pratik Kale leads the Web and Cloud technology team at Mobisoft Infotech. With 14 years of experience, he specializes in building complex software systems, particularly focusing on backend development and cloud computing. He is an expert in programming languages like Java and Node.js, and frameworks like Spring Boot. 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