"Alibaba.com" matching MCP connectors:
Semantic search over 3.5M+ live US job postings pulled straight from company ATSes. Read-only.
MCP server for German & EU law. Verified, citable legal context for any LLM. Daily updates from official sources, hosted in Germany
MarkupBase turns AI-generated Markdown and HTML into durable, versioned artifacts that people can review and discuss. Its MCP server lets agents publish new versions, preserve contextual comments, include hosted images, and respond to feedback through secure account-linked identities, creating a clear human review boundary without requiring real-time editing.
Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.
For queries a model can't confidently place: resolves or declines. Built to decline, not guess.
A semantic search server that gives AI assistants instant access to Dodo Payments documentation and knowledge base.
Free MCP API to create AI chat personas for websites — upload knowledge, search, and chat
Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.
Live MCP connector for Develust Technology's services — web development, infrastructure, backend architecture. Hybrid search with AI reranking for accurate results. No auth required.
Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
Source-traced evidence research for AI agents. We organise the evidence; you decide.
Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402
Market data and web intelligence for AI agents, paid per call in USDC on Base via x402.
Collaborative, cache-first web search for agents — cited answers from a shared live-web pool.
Durable, versioned memory for AI assistants. Remote memory needs a Pastepile subscription.
GRIN-scored news for agents: discover by verdict, pull full analysis, traverse extraction graphs.
Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients
NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.
Parse PDF/Word/PPT/HTML to Markdown; tables as JSON, image extraction, RAG chunking, page ranges.