#mcp-protocol

A MCP server coded in Cpp and gives the AI the ability to modify Excel related files

The llm_to_mcp_integration_engine is a communication layer designed to enhance the reliability of interactions between LLMs and tools (like MCP servers or functions).

Production-ready Model Context Protocol (MCP) servers in Python, Go, and Rust for VS Code integration. Enables AI systems to interact with tools via standardized interfaces.

A simple server implementing the Model Context Protocol for document search

一个基于MCP协议的开发文档服务器，专为各类开发框架文档设计

MCP Firebird is a server that implements Anthropic's Model Context Protocol (MCP) for Firebird SQL databases. It allows Large Language Models (LLMs) like Claude to access, analyze, and manipulate data in Firebird databases securely and in a controlled manner.

A Model Context Protocol server implementation with FastAPI

Mirror of

Cohere MCP Server

The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers.

Converts MCP protocol's SSE transport layer to a standard HTTP request/response.