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MCP

Model Context Protocol (MCP) is an open standard that defines how AI applications connect to external tools, data sources, and services. MCP uses a client-server architecture where AI-powered applications (clients) communicate with lightweight programs (servers) that expose specific capabilities through a standardized interface.

MCP servers can provide tools (executable functions), resources (read-only data), and prompts (reusable templates). The protocol supports multiple transport mechanisms including stdio for local processes and HTTP with Server-Sent Events for remote connections.

The protocol was created by Anthropic and released as an open specification. It is supported by AI tools including Claude Code, Cursor, Codex, Windsurf, and Claude Desktop.

Here are 1,328 public repositories matching this topic...

AI 时代的伯克希尔:基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.

  • Updated Sep 7, 2026
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pm-claude-skills

1098 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — from PRDs and postmortems to appealing a disability benefit, building a go-bag, and settling into a new country. Plain-markdown, MIT, in Anthropic's official plugin directory. Free in-browser or 'npx pm-claude-skills add'.

  • Updated Sep 7, 2026
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XActions

⚡ The Complete X/Twitter Automation Toolkit — Scrapers, MCP server for AI agents (Claude/GPT), CLI, browser scripts. No API fees. Open source. Unfollow people who don't follow back. Monitor real-time analytics. Auto follow, like, comment, scrape, without API. Follow Bot. Like bot. Grow your account automatically.

  • Updated Sep 7, 2026
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A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.|从零开始学 AI Agent 开发 | 系统、全面、实战导向的 Agent 开发教程 | 每日自动追踪 arXiv 最新论文 | Learn AI Agent Development from Scratch

  • Updated Sep 6, 2026
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900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.

  • Updated Sep 3, 2026
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coco

CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an engineering department: a routed advisory board, 185 skills, 280 commands, persistent state. Local. Open-core — MIT core; Super Intelligence is proprietary, own-use.

  • Updated Sep 6, 2026
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Mcptoon is the native decoupling layer for Model Context Protocol (MCP) tools. It fixes tool listings eating tokens and every AI agent re-configuring tools: zero config out of the box, auto-scans and unifies the MCP tools of every agent on your machine, shares tool instances globally, and slashes context-window token overhead.

  • Updated Sep 8, 2026
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🐋 DeepSeek Harness 插件总目录 · The catalog of DSH plugins:1958 个仓库 / 1819 个真插件(Skills · MCP · Tools · UI · Orchestration),中英文搜索、分类筛选、STAR 排序 → leenkcool.github.io

  • Updated Sep 4, 2026
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Created by Anthropic

Released November 2024

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Website
github.com/topics/mcp

Related topics

agent-harness ai-agent llm mcp-server