LLMtoMD

LLMtoMD — the memory layer for AI coding agents.

Convert any document — PDF, DOCX, slides, spreadsheets, images, audio, even whole websites — into clean, structured Markdown, then expose it over MCP so your agent can search your FRDs, specs, and API docs on demand instead of re-reading (or forgetting) them.

On a real 50-page spec, answering one question via retrieval used ~97% fewer tokens than holding the whole document in context — and returned the exact, cited requirement.

Tools

This server is OAuth-secured (it serves each user's private library), so the live Tools tab needs sign-in to enumerate. The tools it exposes:

• list_documents / get_document — browse and read your library
• search_documents — semantic search across your docs
• ask_documents — RAG answer with citations
• convert_url — turn any web page into Markdown
• save_note — write a decision or spec back into the knowledge base
• list_collections — focus on one project

Connect (OAuth — no token to paste)

• Cursor / VS Code: add the server URL https://mcp.llmtomd.com/mcp
• Claude Code: claude mcp add --transport http llmtomd https://mcp.llmtomd.com/mcp
• Also works with Claude, Antigravity, and via API key for OpenAI / LangChain / LlamaIndex.
• Full guides → https://llmtomd.com/integrations

Try it

• "List my LLMtoMD documents."
• "Using my documents, what are the authentication requirements?"
• "Convert https://example.com/article into Markdown and summarize it."

Free tier included (MCP on every plan) → https://llmtomd.com