"Methods to Communicate with AI Platforms: Litellm, GroqAI, and OpenAI" 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.
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
Citation and grounding checks for AI output: dangling references, unsupported counts, overclaims.
Discover, prove & serve small open specialist models: embeddings, rerank, extract — OpenAI-compat.
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.
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.
Human-authored personal context before AI guidance, built through private structured reflection.
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.