GraphQL MCP Server

# Building Lambda-MCP Servers with LLMs This guide shows how to use Large Language Models (LLMs) like Claude to help build custom Lambda-MCP servers efficiently. ## Preparing Documentation for LLMs When working with an LLM to develop Lambda-MCP servers, provide the following documentation: 1. **MCP Protocol Documentation**: - The full MCP specification from https://modelcontextprotocol.io/ - Key concepts like transport layers, message formats, and tool definitions 2. **Lambda-MCP Documentation**: - The architectural design document - Implementation examples - Security considerations 3. **AWS Lambda Documentation**: - Basic Lambda concepts - API Gateway integration - Event/response structures ## Template for Describing Your Server to an LLM ``` I want to build a Lambda-MCP server that: 1. Purpose: - [Describe the main purpose of your server] 2. Data Sources: - [List the data sources or APIs it will connect to] 3. Tools to Implement: - [List specific tools with their functionality] 4. Security Requirements: - [Specify authentication or security measures] 5. Additional Features: - [Any other relevant features] ``` ## Example Development Workflow with Claude ### Step 1: Describe Your Server ``` I want to build a Lambda-MCP server using the Lambda-MCP library that connects to a GraphQL API for our product catalog. The server should provide tools to: 1. Search products by name, category, or attributes 2. Get detailed product information 3. Check product inventory levels The GraphQL API requires authentication via an API key. ``` ### Step 2: Implementation Planning Ask Claude to help plan the implementation: ``` How should I structure the implementation of this GraphQL MCP server? What components will I need to create? ``` ### Step 3: Code Generation Request code for specific components: ``` Can you write the code for the GraphQL search tool implementation, including parameter validation and error handling? ``` ### Step 4: Integration Ask for help integrating the tools with the Lambda-MCP framework: ``` How do I register these tools with the Lambda-MCP server and create the Lambda handler? ``` ### Step 5: Deployment Configuration Request CDK code for deployment: ``` Can you provide the AWS CDK stack for deploying this GraphQL MCP server? ``` ## Best Practices 1. **Incremental Development**: - Start with a single tool and get it working - Add more tools and features incrementally - Test each addition before moving on 2. **Error Handling**: - Ask LLMs to include robust error handling - Ensure each tool validates inputs properly - Add logging for debugging 3. **Security Focus**: - Have LLMs implement proper authentication - Add input validation and sanitization - Implement appropriate permissions 4. **Testing**: - Use the local development server for testing - Create sample requests for each tool - Test edge cases and error conditions 5. **Documentation**: - Ask LLMs to document each tool clearly - Include example requests/responses - Document any limitations or edge cases ## Iterative Improvement LLMs excel at refactoring and improving code. Use prompts like: - "Can you optimize this code for better performance?" - "How can I make this error handling more robust?" - "Can you refactor this to be more maintainable?" ## Example Tools to Build The Lambda-MCP framework is ideal for building these types of tools: 1. **Database Connectors**: - SQL query tools - NoSQL database access - Data lake exploration 2. **API Integrations**: - REST API clients - GraphQL query tools - SOAP service connectors 3. **Content Processing**: - Document search and retrieval - Media metadata extraction - Content categorization 4. **Enterprise System Access**: - CRM data access - ERP system integration - Identity management ## Testing with the MCP Inspector After developing your server with the help of an LLM: 1. Use the local development tools to test 2. Connect to Claude Desktop or other MCP clients 3. Try the [MCP Inspector](https://modelcontextprotocol.io/tutorials/inspector) for debugging 4. Iterate based on real-world usage