"A GitHub repository for agent guardrails" matching MCP connectors:
Matching Connector Tools:
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.
MCP server for German & EU law. Verified, citable legal context for any LLM. Daily updates from official sources, hosted in Germany
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.
Collaborative, cache-first web search for agents — cited answers from a shared live-web pool.
Citation and grounding checks for AI output: dangling references, unsupported counts, overclaims.
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.
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.
Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.
Compact, citation-verifiable public web context for AI agents, paid per use with x402.
Persistent project context for xAI Grok. IANA-registered .faf format.
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.