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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
MCP (Model Context Protocol) is an open protocol that standardizes how applications share context with large language models.
This repository contains examples of reusable "skills" for working with Azure DevOps from AI coding assistants (for example, GitHub Copilot in VS Code).
This Quarkus extension provides both declarative and programmatic APIs that enable developers to easily implement MCP[^1] server features.
OpenOSINT OSINT agent for security researchers and analysts: 18 investigation tools behind a natural-language interface. Use it as a REPL, CLI, MCP server, or browser Web UI.
This repository contains sample MCP servers with rich interactive UI widgets that render inside Microsoft 365 Copilot.
A small, fetch-first implementation of the Model Context Protocol (MCP) server APIs.
A lightweight wrapper around mcp-swift-sdk that integrates with LLM Swift libraries such as SwiftOpenAI and SwiftAnthropic to easily create your own MCP Clients in macOS applications.
ElysiaJS plugin for Model Context Protocol with HTTP transport
Muppet is an open-source toolkit designed to simplify the entire lifecycle of your Model Context Protocol (MCP) servers—from development and testing to deployment.
The Render MCP Server is a Model Context Protocol (MCP) server that allows you to interact with your Render resources via LLMs.
Exposes MCP (Model Context Protocol) server tools as native OpenClaw agent tools.
Simple MCP Manager Desktop Application
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