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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
A production-ready for seamless integration between Velociraptor DFIR and Large Language Models (LLMs).
Anthropic’s Model Context Protocol implementation for Oat++
This is a MCP designed to manage and interact with mobile devices and simulators. It provides utilities for tasks such as app installation, device management, and log retrieval for iOS and Android...
AutoGenesis is an AI-powered automated testing framework based on Model Context Protocol (MCP), supporting multiple platforms including desktop applications (Windows/macOS) and mobile applications...
An Envoy-based gateway for Model Context Protocol (MCP) servers, enabling aggregation and routing of multiple MCP servers behind a single endpoint.
This project demonstrates an Agent Development Kit (ADK) agent that interacts with a local SQLite database.
The Meshery MCP Server extension - an MCP server that streamlines and accelerates creating Meshery designs
Python implementation for building AI Agent with MCP (Model Context Protocol) tools and MCP server/client architecture.
A Cloudflare-powered MCP (Model Context Protocol) Server that allows you to search and query your GitHub starred repositories using natural language.
Model Context Protocol server for Qlik Sense Enterprise. Exposes Qlik's Repository (HTTP) and Engine (WebSocket) APIs as so an LLM client can discover apps, inspect data models, query data, and...
This Quarkus extension provides both declarative and programmatic APIs that enable developers to easily implement MCP[^1] server features.
Open-source, self-hosted AI workspace for local and open-weight LLMs with vLLM, LiteLLM, autonomous agents, MCP tools, deep research, artifacts, and BYOK.
