🛠️tutorialintermediate

Custom MCP Server Development: Implementation Guide

Learn to build custom Model Context Protocol servers from scratch with practical examples, best practices, and production-ready patterns.

ByMCP Directory Team
Published
⏱️45 minutes
server-developmenttypescriptpythonimplementationsdk

Custom MCP Server Development: Complete Implementation Guide

Building custom Model Context Protocol (MCP) servers allows you to expose your data, tools, and services to Large Language Models in a standardized way. This comprehensive guide walks you through creating production-ready MCP servers from setup to deployment.

Table of Contents

  1. Prerequisites and Setup
  2. Understanding MCP Server Architecture
  3. Building Your First Server
  4. Implementing Resources
  5. Creating Tools
  6. Managing Prompts
  7. Advanced Server Patterns
  8. Testing and Debugging
  9. Production Deployment

Prerequisites and Setup

Required Knowledge

  • Familiarity with JavaScript/TypeScript or Python
  • Understanding of APIs and server-client communication
  • Basic knowledge of JSON-RPC protocol concepts

Environment Setup

TypeScript/Node.js Setup:

# Create new project
mkdir my-mcp-server
cd my-mcp-server
npm init -y

# Install MCP SDK
npm install @modelcontextprotocol/sdk
npm install -D typescript @types/node

# Create TypeScript config
npx tsc --init

Python Setup:

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install MCP SDK
pip install mcp

# Create project structure
mkdir my-mcp-server
cd my-mcp-server

Understanding MCP Server Architecture

Core Components

MCP servers expose three main primitives:

  1. Resources: Data sources that can be read by the LLM
  2. Tools: Functions that can be executed to perform actions
  3. Prompts: Reusable interaction templates

Server Lifecycle

// Basic server lifecycle
const server = new Server({
  name: "my-custom-server",
  version: "1.0.0"
}, {
  capabilities: {
    resources: {},
    tools: {},
    prompts: {}
  }
});

// Start server
await server.connect(transport);

Building Your First Server

Basic TypeScript Server

#!/usr/bin/env node

import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
  CallToolRequestSchema,
  ListToolsRequestSchema,
  ListResourcesRequestSchema,
  ReadResourceRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import { z } from "zod";

class CustomMCPServer {
  private server: Server;

  constructor() {
    this.server = new Server({
      name: "custom-mcp-server",
      version: "1.0.0",
    }, {
      capabilities: {
        resources: {},
        tools: {},
        prompts: {}
      }
    });

    this.setupHandlers();
  }

  private setupHandlers() {
    // List available tools
    this.server.setRequestHandler(ListToolsRequestSchema, async () => ({
      tools: [
        {
          name: "calculate",
          description: "Perform mathematical calculations",
          inputSchema: {
            type: "object",
            properties: {
              expression: {
                type: "string",
                description: "Mathematical expression to evaluate"
              }
            },
            required: ["expression"]
          }
        },
        {
          name: "get_weather",
          description: "Get current weather information",
          inputSchema: {
            type: "object",
            properties: {
              city: {
                type: "string",
                description: "City name"
              }
            },
            required: ["city"]
          }
        }
      ]
    }));

    // Handle tool execution
    this.server.setRequestHandler(CallToolRequestSchema, async (request) => {
      const { name, arguments: args } = request.params;

      switch (name) {
        case "calculate":
          return await this.handleCalculate(args);
        case "get_weather":
          return await this.handleGetWeather(args);
        default:
          throw new Error(`Unknown tool: ${name}`);
      }
    });

    // List available resources
    this.server.setRequestHandler(ListResourcesRequestSchema, async () => ({
      resources: [
        {
          uri: "file://config",
          name: "Server Configuration",
          description: "Current server configuration",
          mimeType: "application/json"
        },
        {
          uri: "file://logs",
          name: "Server Logs",
          description: "Recent server activity logs",
          mimeType: "text/plain"
        }
      ]
    }));

    // Handle resource reading
    this.server.setRequestHandler(ReadResourceRequestSchema, async (request) => {
      const uri = request.params.uri;

      switch (uri) {
        case "file://config":
          return await this.getConfiguration();
        case "file://logs":
          return await this.getLogs();
        default:
          throw new Error(`Unknown resource: ${uri}`);
      }
    });
  }

  private async handleCalculate(args: any) {
    try {
      // Simple expression evaluator (use a proper library in production)
      const result = eval(args.expression);
      
      return {
        content: [
          {
            type: "text",
            text: `Result: ${result}`
          }
        ]
      };
    } catch (error) {
      throw new Error(`Calculation error: ${error.message}`);
    }
  }

  private async handleGetWeather(args: any) {
    // Mock weather data (integrate with real weather API)
    const mockWeather = {
      city: args.city,
      temperature: "22°C",
      condition: "Sunny",
      humidity: "45%"
    };

    return {
      content: [
        {
          type: "text",
          text: `Weather in ${mockWeather.city}: ${mockWeather.temperature}, ${mockWeather.condition}, Humidity: ${mockWeather.humidity}`
        }
      ]
    };
  }

  private async getConfiguration() {
    const config = {
      serverName: "custom-mcp-server",
      version: "1.0.0",
      features: ["calculator", "weather"],
      uptime: process.uptime()
    };

    return {
      contents: [
        {
          uri: "file://config",
          mimeType: "application/json",
          text: JSON.stringify(config, null, 2)
        }
      ]
    };
  }

  private async getLogs() {
    const logs = [
      `[${new Date().toISOString()}] Server started`,
      `[${new Date().toISOString()}] Handlers registered`,
      `[${new Date().toISOString()}] Ready to accept connections`
    ].join('\n');

    return {
      contents: [
        {
          uri: "file://logs",
          mimeType: "text/plain",
          text: logs
        }
      ]
    };
  }

  async start() {
    const transport = new StdioServerTransport();
    await this.server.connect(transport);
    console.error("Custom MCP Server running on stdio");
  }
}

// Start the server
const server = new CustomMCPServer();
server.start().catch(console.error);

Python Server Example

#!/usr/bin/env python3

import asyncio
import json
from datetime import datetime
from mcp.server import Server
from mcp.types import (
    Resource,
    Tool,
    TextContent,
    ImageContent,
    EmbeddedResource,
    CallToolResult,
    ListResourcesResult,
    ReadResourceResult,
    ListToolsResult,
)
import mcp.server.stdio

class CustomMCPServer:
    def __init__(self):
        self.server = Server("custom-mcp-server")
        self.setup_handlers()

    def setup_handlers(self):
        @self.server.list_tools()
        async def list_tools() -> ListToolsResult:
            return ListToolsResult(
                tools=[
                    Tool(
                        name="greet",
                        description="Generate a personalized greeting",
                        inputSchema={
                            "type": "object",
                            "properties": {
                                "name": {"type": "string"},
                                "style": {"type": "string", "enum": ["formal", "casual"]}
                            },
                            "required": ["name"]
                        }
                    ),
                    Tool(
                        name="system_info",
                        description="Get system information",
                        inputSchema={
                            "type": "object",
                            "properties": {}
                        }
                    )
                ]
            )

        @self.server.call_tool()
        async def call_tool(name: str, arguments: dict) -> CallToolResult:
            if name == "greet":
                return await self.handle_greet(arguments)
            elif name == "system_info":
                return await self.handle_system_info(arguments)
            else:
                raise ValueError(f"Unknown tool: {name}")

        @self.server.list_resources()
        async def list_resources() -> ListResourcesResult:
            return ListResourcesResult(
                resources=[
                    Resource(
                        uri="info://server",
                        name="Server Information",
                        description="Information about this MCP server",
                        mimeType="application/json"
                    ),
                    Resource(
                        uri="info://stats",
                        name="Usage Statistics",
                        description="Server usage statistics",
                        mimeType="application/json"
                    )
                ]
            )

        @self.server.read_resource()
        async def read_resource(uri: str) -> ReadResourceResult:
            if uri == "info://server":
                return await self.get_server_info()
            elif uri == "info://stats":
                return await self.get_statistics()
            else:
                raise ValueError(f"Unknown resource: {uri}")

    async def handle_greet(self, arguments: dict) -> CallToolResult:
        name = arguments.get("name", "Friend")
        style = arguments.get("style", "casual")
        
        if style == "formal":
            greeting = f"Good day, {name}. I hope you are well."
        else:
            greeting = f"Hey {name}! How's it going?"
        
        return CallToolResult(
            content=[
                TextContent(
                    type="text",
                    text=greeting
                )
            ]
        )

    async def handle_system_info(self, arguments: dict) -> CallToolResult:
        import platform
        import sys
        
        info = {
            "platform": platform.system(),
            "python_version": sys.version,
            "timestamp": datetime.now().isoformat()
        }
        
        return CallToolResult(
            content=[
                TextContent(
                    type="text",
                    text=f"System Info: {json.dumps(info, indent=2)}"
                )
            ]
        )

    async def get_server_info(self) -> ReadResourceResult:
        info = {
            "name": "Custom MCP Server",
            "version": "1.0.0",
            "description": "A custom MCP server built with Python",
            "capabilities": ["tools", "resources"],
            "uptime": datetime.now().isoformat()
        }
        
        return ReadResourceResult(
            contents=[
                TextContent(
                    type="text",
                    text=json.dumps(info, indent=2)
                )
            ]
        )

    async def get_statistics(self) -> ReadResourceResult:
        stats = {
            "total_requests": 0,
            "tools_called": {},
            "resources_accessed": {},
            "last_activity": datetime.now().isoformat()
        }
        
        return ReadResourceResult(
            contents=[
                TextContent(
                    type="text",
                    text=json.dumps(stats, indent=2)
                )
            ]
        )

async def main():
    server = CustomMCPServer()
    async with mcp.server.stdio.stdio_server() as (read_stream, write_stream):
        await server.server.run(
            read_stream,
            write_stream,
            server.server.create_initialization_options()
        )

if __name__ == "__main__":
    asyncio.run(main())

Implementing Resources

Dynamic Resource Generation

class ResourceMCPServer {
  private dataStore: Map<string, any> = new Map();

  setupResourceHandlers() {
    this.server.setRequestHandler(ListResourcesRequestSchema, async () => {
      const resources = Array.from(this.dataStore.keys()).map(key => ({
        uri: `data://${key}`,
        name: `Data: ${key}`,
        description: `Stored data for ${key}`,
        mimeType: "application/json"
      }));

      return { resources };
    });

    this.server.setRequestHandler(ReadResourceRequestSchema, async (request) => {
      const uri = request.params.uri;
      const key = uri.replace('data://', '');
      
      const data = this.dataStore.get(key);
      if (!data) {
        throw new Error(`Resource not found: ${uri}`);
      }

      return {
        contents: [
          {
            uri,
            mimeType: "application/json",
            text: JSON.stringify(data, null, 2)
          }
        ]
      };
    });
  }

  // Method to add data dynamically
  addResource(key: string, data: any) {
    this.dataStore.set(key, data);
    
    // Notify clients of resource changes
    this.server.notification({
      method: "notifications/resources/list_changed"
    });
  }
}

File System Resource Provider

import { readFile, readdir, stat } from 'fs/promises';
import { join } from 'path';

class FileSystemMCPServer {
  constructor(private rootPath: string) {}

  setupFileSystemHandlers() {
    this.server.setRequestHandler(ListResourcesRequestSchema, async () => {
      const resources = await this.scanDirectory(this.rootPath);
      return { resources };
    });

    this.server.setRequestHandler(ReadResourceRequestSchema, async (request) => {
      const uri = request.params.uri;
      const filePath = uri.replace('file://', '');
      const fullPath = join(this.rootPath, filePath);

      try {
        const content = await readFile(fullPath, 'utf-8');
        
        return {
          contents: [
            {
              uri,
              mimeType: this.getMimeType(fullPath),
              text: content
            }
          ]
        };
      } catch (error) {
        throw new Error(`Failed to read file: ${error.message}`);
      }
    });
  }

  private async scanDirectory(dirPath: string): Promise<any[]> {
    const resources = [];
    
    try {
      const entries = await readdir(dirPath);
      
      for (const entry of entries) {
        const fullPath = join(dirPath, entry);
        const stats = await stat(fullPath);
        
        if (stats.isFile() && this.isAllowedFile(entry)) {
          resources.push({
            uri: `file://${entry}`,
            name: entry,
            description: `File: ${entry}`,
            mimeType: this.getMimeType(fullPath)
          });
        }
      }
    } catch (error) {
      console.error(`Error scanning directory: ${error.message}`);
    }
    
    return resources;
  }

  private isAllowedFile(filename: string): boolean {
    const allowedExtensions = ['.txt', '.md', '.json', '.yaml', '.yml'];
    return allowedExtensions.some(ext => filename.endsWith(ext));
  }

  private getMimeType(filePath: string): string {
    const ext = filePath.split('.').pop()?.toLowerCase();
    const mimeTypes: Record<string, string> = {
      'txt': 'text/plain',
      'md': 'text/markdown',
      'json': 'application/json',
      'yaml': 'application/yaml',
      'yml': 'application/yaml'
    };
    
    return mimeTypes[ext || ''] || 'text/plain';
  }
}

Creating Tools

Database Tool Implementation

import { Database } from 'sqlite3';

class DatabaseMCPServer {
  constructor(private db: Database) {}

  setupDatabaseTools() {
    this.server.setRequestHandler(ListToolsRequestSchema, async () => ({
      tools: [
        {
          name: "query_database",
          description: "Execute SQL queries on the database",
          inputSchema: {
            type: "object",
            properties: {
              query: {
                type: "string",
                description: "SQL query to execute"
              },
              parameters: {
                type: "array",
                description: "Query parameters",
                items: { type: "string" }
              }
            },
            required: ["query"]
          }
        },
        {
          name: "list_tables",
          description: "List all tables in the database",
          inputSchema: {
            type: "object",
            properties: {}
          }
        }
      ]
    }));

    this.server.setRequestHandler(CallToolRequestSchema, async (request) => {
      const { name, arguments: args } = request.params;

      switch (name) {
        case "query_database":
          return await this.executeQuery(args.query, args.parameters);
        case "list_tables":
          return await this.listTables();
        default:
          throw new Error(`Unknown tool: ${name}`);
      }
    });
  }

  private async executeQuery(query: string, parameters: string[] = []): Promise<any> {
    return new Promise((resolve, reject) => {
      if (query.trim().toLowerCase().startsWith('select')) {
        this.db.all(query, parameters, (err, rows) => {
          if (err) {
            reject(new Error(`Query error: ${err.message}`));
          } else {
            resolve({
              content: [
                {
                  type: "text",
                  text: `Query Results:\n${JSON.stringify(rows, null, 2)}`
                }
              ]
            });
          }
        });
      } else {
        reject(new Error("Only SELECT queries are allowed"));
      }
    });
  }

  private async listTables(): Promise<any> {
    return new Promise((resolve, reject) => {
      this.db.all(
        "SELECT name FROM sqlite_master WHERE type='table'",
        (err, rows) => {
          if (err) {
            reject(new Error(`Error listing tables: ${err.message}`));
          } else {
            const tables = rows.map((row: any) => row.name);
            resolve({
              content: [
                {
                  type: "text",
                  text: `Available tables: ${tables.join(', ')}`
                }
              ]
            });
          }
        }
      );
    });
  }
}

HTTP API Tool

import axios from 'axios';

class APIToolMCPServer {
  setupAPITools() {
    this.server.setRequestHandler(ListToolsRequestSchema, async () => ({
      tools: [
        {
          name: "make_http_request",
          description: "Make HTTP requests to external APIs",
          inputSchema: {
            type: "object",
            properties: {
              url: {
                type: "string",
                description: "URL to request"
              },
              method: {
                type: "string",
                enum: ["GET", "POST", "PUT", "DELETE"],
                default: "GET"
              },
              headers: {
                type: "object",
                description: "Request headers"
              },
              body: {
                type: "object",
                description: "Request body for POST/PUT requests"
              }
            },
            required: ["url"]
          }
        }
      ]
    }));

    this.server.setRequestHandler(CallToolRequestSchema, async (request) => {
      if (request.params.name === "make_http_request") {
        return await this.makeHttpRequest(request.params.arguments);
      }
      throw new Error(`Unknown tool: ${request.params.name}`);
    });
  }

  private async makeHttpRequest(args: any) {
    try {
      const response = await axios({
        method: args.method || 'GET',
        url: args.url,
        headers: args.headers || {},
        data: args.body,
        timeout: 10000
      });

      return {
        content: [
          {
            type: "text",
            text: `HTTP ${response.status}: ${JSON.stringify(response.data, null, 2)}`
          }
        ]
      };
    } catch (error) {
      throw new Error(`HTTP request failed: ${error.message}`);
    }
  }
}

Managing Prompts

Dynamic Prompt System

class PromptMCPServer {
  private prompts: Map<string, any> = new Map();

  constructor() {
    this.initializePrompts();
  }

  private initializePrompts() {
    this.prompts.set("code_review", {
      name: "code_review",
      description: "Review code for quality and best practices",
      arguments: [
        {
          name: "code",
          description: "Code to review",
          required: true
        },
        {
          name: "language",
          description: "Programming language",
          required: true
        }
      ]
    });

    this.prompts.set("documentation", {
      name: "documentation",
      description: "Generate documentation for code",
      arguments: [
        {
          name: "code",
          description: "Code to document",
          required: true
        },
        {
          name: "style",
          description: "Documentation style",
          required: false
        }
      ]
    });
  }

  setupPromptHandlers() {
    this.server.setRequestHandler(ListPromptsRequestSchema, async () => {
      const prompts = Array.from(this.prompts.values());
      return { prompts };
    });

    this.server.setRequestHandler(GetPromptRequestSchema, async (request) => {
      const { name, arguments: args } = request.params;
      
      if (!this.prompts.has(name)) {
        throw new Error(`Unknown prompt: ${name}`);
      }

      const promptTemplate = this.prompts.get(name);
      const messages = await this.generatePromptMessages(promptTemplate, args);

      return { messages };
    });
  }

  private async generatePromptMessages(template: any, args: any) {
    switch (template.name) {
      case "code_review":
        return [
          {
            role: "user",
            content: {
              type: "text",
              text: `Please review this ${args.language} code for quality, best practices, and potential improvements:\n\n${args.code}`
            }
          }
        ];
      
      case "documentation":
        const style = args.style || "JSDoc";
        return [
          {
            role: "user",
            content: {
              type: "text",
              text: `Generate ${style} documentation for this code:\n\n${args.code}`
            }
          }
        ];
      
      default:
        throw new Error(`No template handler for prompt: ${template.name}`);
    }
  }
}

Advanced Server Patterns

Middleware Pattern

class MiddlewareMCPServer {
  private middlewares: Array<(request: any, next: () => Promise<any>) => Promise<any>> = [];

  use(middleware: (request: any, next: () => Promise<any>) => Promise<any>) {
    this.middlewares.push(middleware);
  }

  private async executeMiddleware(request: any, handler: () => Promise<any>) {
    let index = 0;

    const next = async (): Promise<any> => {
      if (index >= this.middlewares.length) {
        return await handler();
      }

      const middleware = this.middlewares[index++];
      return await middleware(request, next);
    };

    return await next();
  }

  setupMiddlewareHandlers() {
    // Logging middleware
    this.use(async (request, next) => {
      console.log(`[${new Date().toISOString()}] ${request.method}`);
      const start = Date.now();
      
      try {
        const result = await next();
        console.log(`[${new Date().toISOString()}] ${request.method} completed in ${Date.now() - start}ms`);
        return result;
      } catch (error) {
        console.error(`[${new Date().toISOString()}] ${request.method} failed: ${error.message}`);
        throw error;
      }
    });

    // Rate limiting middleware
    this.use(async (request, next) => {
      if (!await this.checkRateLimit(request)) {
        throw new Error("Rate limit exceeded");
      }
      return await next();
    });

    // Apply middleware to handlers
    this.server.setRequestHandler(CallToolRequestSchema, async (request) => {
      return await this.executeMiddleware(request, async () => {
        return await this.handleToolCall(request);
      });
    });
  }

  private async checkRateLimit(request: any): Promise<boolean> {
    // Implement rate limiting logic
    return true;
  }

  private async handleToolCall(request: any) {
    // Original tool handling logic
    return { content: [{ type: "text", text: "Tool executed" }] };
  }
}

Testing and Debugging

Unit Testing

import { jest } from '@jest/globals';

describe('CustomMCPServer', () => {
  let server: CustomMCPServer;

  beforeEach(() => {
    server = new CustomMCPServer();
  });

  test('should handle calculate tool', async () => {
    const result = await server.handleCalculate({ expression: "2 + 2" });
    
    expect(result.content[0].text).toBe("Result: 4");
  });

  test('should handle weather tool', async () => {
    const result = await server.handleGetWeather({ city: "London" });
    
    expect(result.content[0].text).toContain("Weather in London");
  });

  test('should list available tools', async () => {
    const tools = await server.listTools();
    
    expect(tools.tools).toHaveLength(2);
    expect(tools.tools[0].name).toBe("calculate");
    expect(tools.tools[1].name).toBe("get_weather");
  });
});

Integration Testing

import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { TestTransport } from "@modelcontextprotocol/sdk/server/test.js";

describe('MCP Server Integration', () => {
  test('should handle full request/response cycle', async () => {
    const server = new CustomMCPServer();
    const transport = new TestTransport();
    
    await server.start(transport);
    
    // Send list tools request
    const toolsResponse = await transport.request({
      method: "tools/list",
      params: {}
    });
    
    expect(toolsResponse.result.tools).toBeDefined();
    
    // Call a tool
    const callResponse = await transport.request({
      method: "tools/call",
      params: {
        name: "calculate",
        arguments: { expression: "5 * 6" }
      }
    });
    
    expect(callResponse.result.content[0].text).toBe("Result: 30");
  });
});

Production Deployment

Docker Deployment

FROM node:18-alpine

WORKDIR /app

COPY package*.json ./
RUN npm ci --only=production

COPY . .
RUN npm run build

USER node

CMD ["npm", "start"]

Environment Configuration

class ProductionMCPServer {
  private config: ServerConfig;

  constructor() {
    this.config = {
      port: parseInt(process.env.PORT || '3000'),
      logLevel: process.env.LOG_LEVEL || 'info',
      maxConnections: parseInt(process.env.MAX_CONNECTIONS || '100'),
      rateLimitRpm: parseInt(process.env.RATE_LIMIT_RPM || '60'),
      enableMetrics: process.env.ENABLE_METRICS === 'true',
      secretKey: process.env.SECRET_KEY || 'default-secret'
    };
  }

  setupProduction() {
    // Enable metrics collection
    if (this.config.enableMetrics) {
      this.setupMetrics();
    }

    // Configure logging
    this.setupLogging();

    // Enable health checks
    this.setupHealthChecks();

    // Configure graceful shutdown
    this.setupGracefulShutdown();
  }

  private setupGracefulShutdown() {
    process.on('SIGTERM', async () => {
      console.log('SIGTERM received, shutting down gracefully');
      await this.server.close();
      process.exit(0);
    });

    process.on('SIGINT', async () => {
      console.log('SIGINT received, shutting down gracefully');
      await this.server.close();
      process.exit(0);
    });
  }
}

Monitoring and Health Checks

class MonitoredMCPServer {
  private metrics = {
    requestCount: 0,
    errorCount: 0,
    responseTime: [],
    startTime: Date.now()
  };

  setupHealthCheck() {
    this.server.setRequestHandler(
      { method: "health/check" } as any,
      async () => ({
        status: "healthy",
        uptime: Date.now() - this.metrics.startTime,
        metrics: {
          totalRequests: this.metrics.requestCount,
          totalErrors: this.metrics.errorCount,
          averageResponseTime: this.getAverageResponseTime()
        }
      })
    );
  }

  private getAverageResponseTime(): number {
    if (this.metrics.responseTime.length === 0) return 0;
    
    const sum = this.metrics.responseTime.reduce((a, b) => a + b, 0);
    return sum / this.metrics.responseTime.length;
  }

  private trackMetrics(fn: Function) {
    return async (...args: any[]) => {
      const start = Date.now();
      this.metrics.requestCount++;
      
      try {
        const result = await fn.apply(this, args);
        this.metrics.responseTime.push(Date.now() - start);
        return result;
      } catch (error) {
        this.metrics.errorCount++;
        throw error;
      }
    };
  }
}

Best Practices Summary

  1. Error Handling: Always provide meaningful error messages and handle edge cases
  2. Input Validation: Validate all inputs using schemas (Zod for TypeScript)
  3. Security: Implement authentication, rate limiting, and input sanitization
  4. Performance: Use caching, connection pooling, and efficient data structures
  5. Monitoring: Implement health checks, metrics, and comprehensive logging
  6. Testing: Write unit and integration tests for all functionality
  7. Documentation: Provide clear descriptions for all tools, resources, and prompts

Next Steps

With this foundation, you can build robust, scalable MCP servers that effectively expose your data and tools to Large Language Models while maintaining security, performance, and reliability standards.