# Local Development

A Docker Compose solution for quickly deploying the Qdrant vector search engine and MCP protocol server locally

A locally developed remote MCP server project for analyzing tokens through CoinGecko market data and supporting connection to the Claude desktop client

Tutorial for creating a local MCP server, including the complete process from project initialization to function implementation, debugging, and publishing

MCP is a Python service framework that supports quickly creating local or HTTP services through tool functions and provides multiple running modes and client interaction modes.

This project provides a localized implementation of MCP (Modular Computing Protocol), including a server and a client. The server offers 28 computing tools (mathematical operations, string/image processing, Pinta automation, etc.), and the client interacts with the server through the protocol to call these tools. The project uses uv to manage dependencies and supports rapid deployment and local testing.

Run the FastAPI server and directly develop and debug through the MCP tool