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Docs & KnowledgeMCP Registryremote15 toolsB · 73

LLMtoMD MCP server

com.llmtomd · Updated

Convert PDFs, Office docs, websites and audio into AI-ready Markdown, then search and ask your docs.

At a glance

LLMtoMD is an MCP server in the Docs & Knowledge category. It is hosted remotely and connects over HTTP, and declares no required credentials. It exposes 15 tools, including convert_url, convert_file and upload_file. It scores B (73/100) on the MCP Skills Hub health score as of Oct 28, 2026.

Source 0GitHub stars

One-click install

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install LLMtoMD in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install LLMtoMD in Claude CodeAnthropic's agentic CLI

  1. Add the server

    bash
    claude mcp add --transport http llmtomd https://mcp.llmtomd.com/mcp
  2. Verify it's connected

    bash
    claude mcp list
  3. Sharing it with your team?

    Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).

  4. Use it in a session

    Ask Claude to use the tools this server exposes (e.g. convert_url, convert_file, upload_file). It discovers them automatically.

What tools does LLMtoMD expose? (15)

Taken from the project's README — the server itself was not queried, so check its docs for the exact schemas.

  • convert_urlConvert a web page or a publicly reachable file URL into Markdown
  • convert_fileConvert a small local file (sent inline) into Markdown
  • upload_fileGet a one-time upload URL for large or binary files (big PDFs, scans, audio, video)
  • convert_uploadConvert a file uploaded with `upload_file`
  • list_documentsList documents in your LLMtoMD library, newest first
  • get_documentFetch a stored document's full Markdown
  • search_documentsSemantic search across your documents
  • ask_documentsAnswer a question from your documents, with sources
  • list_collectionsList your collections (projects) and their document counts
  • save_noteSave text or Markdown into your library so it's searchable later
  • start_taskRecord the approved file boundary of a coding task before editing
  • check_scopeCheck changed files against that boundary
  • approve_scopeWiden the boundary when a human approves extra files
  • close_taskMark a task finished
  • list_tasksList task scopes and their status

What the code can do

This is a remote server — nothing is installed or run on your machine, so there is no local code to analyze. What it can reach is described above: your requests go to the provider's host.

Before you install

Signals gathered from the source repo and package registry — not a safety verdict.

What it can reach

  • Third-party hosted service — Your requests and any data in them are sent to mcp.llmtomd.com.
  • No local execution — Nothing is installed or run on your machine.
  • Last commit 2 days ago — Actively maintained.
  • Repository created 2 days ago — Very new project with little track record yet.
  • 0 GitHub stars — Very little community usage so far.

Client compatibility

Claude Code: NativeClaude Desktop: Via mcp-remoteCursor: NativeCodex CLI: Via mcp-remoteWindsurf: NativeCline: NativeVS Code: Native

Health score

B · 73

Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

  • Maintenance30%100%

    Last commit 2 days ago.

  • Adoption20%0%

    0 stars.

  • Transparency20%100%

    4/4: ✓ public source repo, ✓ declared license, ✓ documentation, ✓ discoverable tool list.

  • Provenance15%75%

    Links to its own repository; package linkage unverified.

  • Packaging15%75%

    Remote endpoint; authentication requirements not declared.

Documentation

Full README

LLMtoMD MCP Server

Turn PDFs, Office documents, websites and audio into clean, AI-ready Markdown, and let your AI assistant search and answer questions across everything you've converted.

LLMtoMD is a hosted MCP server. There's nothing to install or run: connect your client to the endpoint below and sign in with your LLMtoMD account.

| | | |---|---| | Endpoint | https://mcp.llmtomd.com/mcp | | Transport | Streamable HTTP | | Auth | OAuth 2.1 (PKCE + dynamic client registration). Your client opens a sign-in page; no API keys to copy. | | Registry | `com.llmtomd/llmtomd` on the official MCP Registry | | Account | Free sign-up at llmtomd.com |

Connect

VS Code (GitHub Copilot)

**Install in VS Code**

Or add it by hand: Command Palette → MCP: Add Server → HTTP, enter https://mcp.llmtomd.com/mcp, and sign in when prompted. You can also add it to .vscode/mcp.json:

json
{
  "servers": {
    "llmtomd": { "type": "http", "url": "https://mcp.llmtomd.com/mcp" }
  }
}

Claude (web and desktop)

Settings → Connectors → Add custom connector, paste https://mcp.llmtomd.com/mcp, then sign in.

ChatGPT

Settings → Apps & Connectors → Create (developer mode), use https://mcp.llmtomd.com/mcp with OAuth, then sign in.

Cursor and other clients

Maintain LLMtoMD? Add a badge to your README

Shows its health grade, and links readers to install steps for every client.

markdown
[![LLMtoMD on MCP Skills Hub](https://mcp-skills-hub.vercel.app/badge/com-llmtomd-llmtomd)](https://mcp-skills-hub.vercel.app/mcps/com-llmtomd-llmtomd)

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