"Exploring Supabase Features and Services" matching MCP connectors:

A semantic search server that gives AI assistants instant access to Dodo Payments documentation and knowledge base.

AI-first file sharing and collaboration. 251 tools give agents a full workspace: file storage, branded shares, comments, workflows, and built-in RAG. 50GB free, no credit card.

**ColdState Knowledge Search MCP Server** https://github.com/daniel-coldstate/coldstate-mcp Semantic search over 64.6M knowledge entries — the structured alternative to web search APIs and web scraping for LLM agents. No crawling, no rate limits, sub-3s responses. Cloud-hosted at services.coldstate.ai

Independent fact-checking for AI answers: a verdict and sources for every claim.

Discover, prove, route, and serve small AI specialists with fast RAG and private agent memory.

Citation and grounding checks for AI output: dangling references, unsupported counts, overclaims.

Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.

Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402

LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.

Cross-vendor AI memory over MCP. One semantic store, readable and writeable from every MCP client.

Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.

Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients

Build and run grounded business agents over MCP: agents, knowledge bases, skills, Storylines.

Extractive legal answers and semantic search over the public wiki.private.law corpus

Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.

Semantic search across 50,000+ food recipes with hybrid retrieval and reranking.

Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.

Hosted persistent memory with semantic search, importance and TTL for AI agents.

Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.

Governed data discovery, exact queries, decisions, simulations, and runtime utilities over MCP.