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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
Turbular is an open-source Model Context Protocol (MCP) server that enables seamless database connectivity for Language Models (LLMs).
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.
The OP.GG MCP Server is a Model Context Protocol implementation that provides AI agents with access to OP.GG game data for League of Legends, Teamfight Tactics, and Valorant.
MCPCorpus is a comprehensive dataset for analyzing the Model Context Protocol (MCP) ecosystem, containing ~14K MCP servers and 300 MCP clients with 20+ normalized metadata attributes.
Transform any API into an MCP server in seconds, not hours
A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs.
Private AI for your Nextcloud — an MCP server (316 tools), a native Nextcloud app with chat and Coworkers, and one-command Hetzner deployment.
LLM Gateway to call 100+ LLM APIs in OpenAI format with MCP supported.
Create your custom MCP server on Databricks Apps for tools, prompts, and claude slash commands
mcp4k is a compiler-driven framework for building both clients and servers using the Model Context Protocol (MCP) in Kotlin.
This is a Model Context Protocol (MCP) server that converts Figma designs to React components. It provides tools for fetching Figma designs and generating React components with TypeScript and...
Typescript library for integrating Adyen APIs via an MCP server
Agent Skills
NeMo Gym is a library for evaluating and improving models and agents using environments. NeMo Gym provides infrastructure to develop environments, scalably run evaluation and training, and a...
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fly ai agent skill