"How to create Markdown files locally" 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.
Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).
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
Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.
Free MCP API to create AI chat personas for websites — upload knowledge, search, and chat
Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.
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.
Create your digital twin: a public page that answers from your own material, with citations.
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.
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.
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
Generate 18 AI readiness files (llms.txt, ai.txt, RAG indexes, schema) for any website.
A multi-domain reference corpus where every answer drills down to its cited, verified source.
Read-only canonical igoyal.ai Markdown resources, including MPP-paid city guides.
