"How to interact with the Notion API" matching MCP connectors:
Matching Connector Tools:
Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.
Deterministic AI agent microtools, no accounts/API keys. fetch_extract: 98% token cut. 38 tools.
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.
**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
Source-traced evidence research for AI agents. We organise the evidence; you decide.
Discover, prove, route, and serve small AI specialists with fast RAG and private agent memory.
Durable, versioned memory for AI assistants. Remote memory needs a Pastepile subscription.
Check claims against a fact-store: consistent, contradicts, or unverifiable — with a receipt.
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
Compact, citation-verifiable public web context for AI agents, paid per use with x402.
Create your digital twin: a public page that answers from your own material, with citations.
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.
Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.
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
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