MCP Server Examples

Create a basic MCP server with support for OpenAI models (gpt-4o and gpt-3.5-turbo) and a simple health check endpoint. Include proper error handling and environment variable configuration.

Create an MCP server with two tool implementations: (1) a weather tool that fetches current weather for a location and (2) a search tool that performs web searches. Support both OpenAI and Anthropic models. Include proper error handling, API key validation, and streaming response support.

Create an MCP server that connects to a PostgreSQL database. Include tools for querying data and a conversation history storage system that saves all interactions. Use Prisma as the ORM and support OpenAI models. Include proper schema definitions and migration setup.

Create a secure MCP server with JWT authentication, rate limiting, and logging. Support multiple API keys with different permission levels. Include middleware for request validation and proper security headers. Support OpenAI and Anthropic models.

Create an MCP server with vector storage integration using Pinecone. Implement document ingestion, chunking, and embedding generation. Add a retrieval tool that can fetch relevant information from the vector store for the LLM to use in responses. Support OpenAI models and include a simple document upload API.

Create an MCP server that supports both text and image inputs/outputs. Include tools for image generation using DALL-E, image analysis, and text extraction from images. Support OpenAI's multi-modal models and implement proper file handling for image uploads and downloads.