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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
Simple MCP Manager Desktop Application
OmniMCP provides rich UI context and interaction capabilities to AI models through Model Context Protocol (MCP) and microsoft/OmniParser.
— 503 multi-tool tasks backed by a local PostgreSQL database, no external APIs required
The GemCP app is a cross-platform desktop application that creates a seamless chat interface for Google's Gemini AI models with extensible capabilities through a Model Context Protocol (MCP)...
Expect rapid changes and occasional rough edges.
A local, modular Retrieval-Augmented Generation (RAG) system using the Model Context Protocol (MCP) to connect an LLM to external tools like vector databases and document loaders.
CLI tool to scaffold ERC-8004 compliant AI agents with A2A, MCP, and x402 payment support.
📈 - get comprehensive stock market data, news, financials, and more.
Rust MCP Filesystem is a blazingly fast, asynchronous, and lightweight MCP (Model Context Protocol) server designed for efficient handling of various filesystem operations.
A collection of MCP (Model Context Protocol) servers for managing and integrating (LLM) various Large Language Model services.
The Trend Vision One Model Context Protocol (MCP) Server enables natural language interaction between your favourite AI tooling and the Trend Vision One web APIs.
This project demonstrates how to build a simple MCP (Model Context Protocol) client and server using OpenAI's openai Python SDK and the mcp package.
