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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 Model Context Protocol server implementation for interacting with Salesforce through its REST API using jsforce.

A Model Context Protocol (MCP) server that provides tools for managing meeting data, including transcripts, recordings, calendar events, and search functionality.

The most comprehensive open-source library of 600+ installable AI agent components: skills, MCP servers, workflows, subagents, hooks, plugins, prompts, and tools. Install via npx.

TLDR: Use Claude to control or ask questions about your Altium project. This is a Model Context Protocol (MCP) server that provides an interface to interact with Altium Designer through Python.

Chrome MCP Server is a Chrome extension-based Model Context Protocol (MCP) server that exposes your Chrome browser functionality to AI assistants like Claude, enabling complex browser automation,...

A Model Context Protocol (MCP) server implementation that provides Google News search capabilities via SerpAPI integration.

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management.

A Model Context Protocol server that provides search capabilities using a CSE (custom search engine).

Google Search Console Insights with Claude AI for SEOs

Compose, manage, and run MCP servers as Docker containers. With a Unified API gateway built in.

The Typescript MCP Framework

Published in CNCF Landscape: A MCP server for Kubernetes.
Agent Skills

Project management skill system for Agents that uses GitHub Issues and Git worktrees for parallel agent execution.

git checkout for releases that span many repos. Version tags that restore your whole product. No server, no database, any language.

ConardLi's open-source Skills collection, featuring web design, knowledge retrieval, image generation, and more.

A complete agentic pipeline to kill a SaaS: pick a target, cut the 20% that matters, rebuild it on your boilerplate, ship it to production. One method = a suite of commands.

Production-grade Agent Skills for data engineering AI agents: 73 workflows, platform presets, safe backfill/replay, Kafka & Spark reliability, MCP observability, and VS Code/JetBrains installers.

Penpot AI kit

Qiushi-Skill: Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done.

A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.

Keep your skills sharp. Intelligence for agent context.

Comprehensive best practices for building applications with the TanStack ecosystem. These skills provide AI coding agents with structured guidelines for TanStack Query, TanStack Router, and TanStack...

Built for Codex, Claude Code, Gemini CLI and other coding-agent workflows. v0.1 is local-first and deterministic: it creates inspectable placeholder scene assets and an FFmpeg video without an API...

A curated list of awesome plugins, themes, agents, projects, and resources for https://opencode.ai