Browse 15,616 Model Context Protocol servers
Search 15K rare pre-modern texts translated to English: philosophy, religion, science, literature.
Zuul CI — build failure analysis, log search, pipeline status, and job configuration
Swedish municipality statistics from Kolada API. 6000+ KPIs for all 290 municipalities.
本地 Markdown 到 Word 文档转换工具，支持最新 MCP 协议特性、完整的页眉页脚页码功能、增强的表格功能、数据导入和数学公式支持，修复本地相对路径图片嵌入问题
Fetch any web page as clean, AI-ready markdown with smart HTTP-to-browser escalation.
Bridge Claude with Google's Antigravity CLI (agy) for code review and second opinions
Bridge Claude with OpenAI Codex CLI for AI-to-AI collaboration, code review, and second opinions
Bridge Claude with Gemini CLI for AI-to-AI collaboration, code review, and second opinions
Unified MCP server — auto-detects Gemini, Codex, Ollama, Antigravity; registers available tools
Bridge Claude with local Ollama LLMs for private AI-to-AI collaboration — no API keys, fully local
Local DevDocs MCP Server (Developer Docs with project specific context awareness)
Long-term memory for AI-coded codebases — agents log the why behind every change and read it back.
URL to LLM-ready markdown — plus per-page category, page_structure, and query-driven highlights.
The everything Zotero MCP server — Web API v3 + local API, safe writes, citations, search.
UK property data — Land Registry comps, EPC, Rightmove, rental yields, stamp duty, Companies House
MCP server for n8n: generate, lint, explain failed executions, drive live n8n via REST.
Calibrated world model for AI agents. 40 tools: world state, markets, trading. Kalshi + Polymarket.
MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.
Zero-Knowledge Context™ & Neural Handover™ for AI Agents. The Trust Layer for AI Memory.
Agent-native knowledge OS on Markdown: typed graph, hybrid search, and compiler over MCP.
18 deterministic calendar tools: contact resolution, temporal context, availability, booking
Governance proxy for MCP servers — policy evaluation, human approval, audit trails.
Local-first, source-traceable agent memory — no LLM at ingest, fully offline
Validates AI infra code on real VMs. Self-corrects until it works. No containers, no sandboxes.