LLMtoMD

@Gabriel Jacob

Visit Server

3 hours ago

LLMtoMD turns your docs into clean, AI-ready Markdown and serves them to Cursor, Claude Code, and any MCP client so your coding agent retrieves your spec instead of forgetting it.

Overview Tools Comments

Overview

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.

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

Tools

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/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: ```bash 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

Try in Playground

Server Config

{
  "mcpServers": {
    "llmtomd": {
      "url": "https://mcp.llmtomd.com/mcp"
    }
  }
}

Build with ShipAny.