MCP 专区
Model Context Protocol — AI Agent 的标准化工具接口，收录最实用的 MCP Server
什么是 MCP？
MCP（Model Context Protocol）是 Anthropic 发布的开放协议，让 AI 模型能安全、标准化地连接外部工具。
类比：MCP 是 AI Agent 的 USB 接口 — 一次实现，到处可用。
全部收录 MCP Server
共 18 个 MCP Server（已过滤）
Token-efficient Go documentation server that provides AI assistants with smart access to package docs and types without
/ - MCP server for the Rancher ecosystem with multi-cluster Kubernetes operations, Harvester HCI management (VMs, storag
China's apparel supply chain data for AI agents. 1,000+ verified suppliers, 350+ lab-tested fabrics, 170+ industrial clu
Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor.
AI project intelligence MCP server. Tracks 300+ open-source AI projects across GitHub, PyPI, npm, HuggingFace, Docker Hu
Rakuten API integration for product search, hotel and travel booking, and recipe lookup across Japan's largest e-commerc
E-commerce and business intelligence MCP server. Analyze any Shopify store, research Amazon products with Opportunity Sc
Xendit payment gateway for Southeast Asia. Invoices, disbursements, balance checks, and bank transfers across Indonesia,
Real-time cryptocurrency news, analysis, and price predictions for AI agents. 5 tools to search 50,000+ articles across
Trading OS for AI agents 48 tools covering pre-trade risk gates, position sizing, portfolio analytics, regime detection,
Self-hosted knowledge store and memory layer for AI agents with knowledge graph, wiki-links, full-text search (FTS5), an
YouTube transcript extraction for AI agents. Clean text, timestamps, or structured JSON from any video. No API keys requ
Agent OS MCP server for AI agent governance with policy enforcement, code safety verification, multi-model hallucination
MCP server for IDA Pro, allowing you to perform binary analysis with AI assistants. This plugin implement decompilation,
Burn-after-read encrypted notes for AI agents. Create and read self-destructing notes via Volta Notes with AES-256-GCM E
Complete GitLab REST API v4 coverage with 1006 MCP tools across 162 domains, 42 meta-tools, 24 resources, and 38 prompts
Interact seamlessly with issues and merge requests of your GitLab projects.
GitLab CI/CD pipelines, jobs, schedules, MRs, files. Works with any GitLab (SaaS or self-hosted); published on PyPI and
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