"Enhancing Markdown (.MD) file editing capabilities" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
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.
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.
Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.
Your private knowledge base: upload documents (.md, .txt, .docx, PDF, images), the platform indexes
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.
Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.
Token-efficient MCP memory for Markdown vaults. Tiered search, GraphRAG, AI memories.
Publish and manage shareable Markdown/HTML docs from any AI assistant. Free with a Gryz account.
Fetch URLs and return clean Markdown for RAG — nav, ads and boilerplate stripped.
LLMtoMD is the memory layer for AI coding agents. It converts any document — PDF, DOCX, slides, spreadsheets, images, audio, even whole websites — into clean, structured Markdown, then exposes it over MCP so your agent can search your FRDs, specs, and API docs on demand instead of re-reading (or forgetting) them.
Privacy-first PDF to Markdown/JSON converter for AI Agents. Optimized for complex B2B invoices (E-Fatura) and tables. Features native Turkish character correction and local-first WASM parsing.
The Needle MCP server enables semantic search on documents stored in files like PDFs, DOCX, and XLSX by connecting AI applications to external data sources. It provides capabilities to create and manage document collections, perform natural language searches on stored content, and retrieve relevant information without requiring exact keyword matches.
