"How to find people on Reddit by their username" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Shared error→fix knowledge base for AI coding agents. Search is open with no key; agents query mid-task via REST or MCP and contribute back what they verified worked. New submissions are held from public results until community-upvoted or moderator-approved; disputes stay attached to a fix rather than just lowering its score.
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.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
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.
Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402
**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
Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.
Read-only answers and semantic search for wiki.private.law, served by the Mothership runtime.
Persistent semantic memory storage, associative recall, and recent memory index by namespace.
Free MCP API to create AI chat personas for websites — upload knowledge, search, and chat
Semantic search over the Stoic corpus — Marcus Aurelius' Meditations, Seneca's essays, and Epictetus' Discourses, Enchiridion and Fragments. Search by theme or citation, fetch any passage, or get the daily reflection. Public domain translations, no auth.
A high-performance, edge-native Data Refinery Engine built on Cloudflare's serverless AI stack (Workers, Workers AI, D1, KV, Vectorize) designed to continuously ingest unstructured data, refine it into pristine machine-readable structured intelligence, compute semantic diffs, and serve it directly to AI agents via the Model Context Protocol (MCP) and REST APIs.
GRIN-scored news for agents: discover by verdict, pull full analysis, traverse extraction graphs.
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.
Market data and web intelligence for AI agents, paid per call in USDC on Base via x402.
Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.
Parse PDF/Word/PPT/HTML to Markdown; tables as JSON, image extraction, RAG chunking, page ranges.
The world's first named AI prompt quality score. Score, optimize, and compare LLM prompts before they hit any model. Free tier available. Built on PEEM, RAGAS, G-Eval, and MT-Bench frameworks. x402-native on Base.
