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MCP

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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.

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yogsoth-ai / de-anthropocentric-research-engine

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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.

skill mcp codex literature-review hypothesis-generation semantic-scholar academic-research scientific-discovery autonomous-research research-agent ai-scientist deep-research claude-code research-orchestration autoresearch auto-research agent-native-research-artifact
  • Updated Jul 1, 2026
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XActions

nirholas / XActions

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Star 356

⚡ 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.

nodejs open-source twitter-bot automation twitter mcp gpt x twitter-scraper twitter-automation claude puppeteer ai-agent model-context-protocol mcp-server mass-unfollow unfollow-tool xactions
  • Updated Jun 29, 2026
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Haozhe-Xing / agent_learning

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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

mcp multi-agents rag agent-learning ai-agent dspy large-language-models llm langchain agentic-workflow memory-system grpo ai-agent-tutorial
  • Updated Jul 1, 2026
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modu-ai / cowork-plugins

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모두의 AI (MoAI) — Claude Cowork & Claude Code 한국 실무 도메인 AI 하네스·플러그인 마켓플레이스. 사업계획서·세무·법률·HR·마케팅·커머스·BI·콘텐츠 도메인 스킬·에이전트·워크플로우. Korean B2B + office docs (HWPX/DOCX/XLSX/PPTX/PDF) + AI media (image/video/voice). AI-slop 검수 + humanize-korean 내장.

marketplace skills mcp korean agents ai-agents ai-marketplace korean-business anthropic anthropic-claude korean-ai claude-code ai-plugins skill-marketplace claude-code-plugins plugin-marketplace claude-skills claude-plugins claude-cowork b2b-ai
  • Updated Jun 19, 2026
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Created by Anthropic

Released November 2024

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797 followers
Website
github.com/topics/mcp

Related topics

agent-harness ai-agent llm mcp-server