**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 > This server is **OAuth-secured** (it serves each user's private library), so a > directory's live "Tools" tab can't enumerate it without signing in — the tools > are listed here instead: - `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:** `claude mcp add --transport http llmtomd https://mcp.llmtomd.com/mcp` - Also Claude, Antigravity, and API-key for OpenAI / LangChain / LlamaIndex. Full guides: https://llmtomd.com/integrations **Free tier included** (MCP on every plan) → https://llmtomd.com
How to connect
https://server.smithery.ai/support-0vd1/llmtomd/mcpcurl -X POST https://server.smithery.ai/support-0vd1/llmtomd/mcp \
-H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}'