md-converter-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@md-converter-mcpconvert /Users/me/report.pdf to markdown"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
md-converter-mcp
A Node.js MCP server that converts files and URLs to Markdown — exposes a single convert_to_markdown tool that any MCP-compatible AI client (Claude Desktop, Cursor, VS Code, etc.) can call directly.
Requires Node.js ≥ 18. No Python. No Docker.
Why this exists
Microsoft's markitdown-mcp is a great idea but fails to install on Python 3.13+ due to unresolved wheel conflicts in its dependency tree (youtube-transcript-api and others). If you hit errors like:
ERROR: Could not find a version that satisfies the requirement ...…this is a pure Node.js drop-in that does the same job without touching Python at all.
Related MCP server: Markdownify MCP Server
What it does
Converts any of these inputs into clean Markdown text that the AI can read:
Input | How |
| |
DOCX |
|
PPTX |
|
XLSX / XLS |
|
PNG, JPG, JPEG, WEBP, TIFF, BMP |
|
HTTP/HTTPS URL |
|
TXT / MD | Raw file read |
Token savings vs. direct file upload
When you drop a PDF directly into Claude, each page is rendered as an image and processed through the vision layer at ~1,500 tokens/page. This MCP extracts plain text on your machine before anything crosses the API boundary.
Document | Pages | MCP tokens | Direct upload tokens | Reduction |
Sales enablement deck (12-page presentation PDF) | 12 | 1,399 | 19,399 | 93% |
Technical user guide (16-page dense doc) | 16 | 6,309 | 30,309 | 79% |
Web article saved as PDF (6 pages) | 6 | 1,593 | 10,593 | 85% |
Medical report (3-page) | 3 | ~680 | ~5,200 | 87% |
Installation
Prerequisites: Node.js 18+ (LTS recommended)
# 1. Clone the repo
git clone https://github.com/raghunath-iyengar/md-converter-mcp.git
cd md-converter-mcp
# 2. Install dependencies
npm installThat's it. No build step, no compile step.
Verify it works
node server.jsYou should see the process start and wait (it listens on stdio for MCP messages). Press Ctrl+C to exit.
Connect to Claude Desktop
Open your Claude Desktop config file:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
Add the md-converter block inside mcpServers:
{
"mcpServers": {
"md-converter": {
"command": "node",
"args": ["/absolute/path/to/md-converter-mcp/server.js"]
}
}
}Replace /absolute/path/to/md-converter-mcp/server.js with the actual path on your machine.
macOS example:
"args": ["/Users/yourname/md-converter-mcp/server.js"]Windows example:
"args": ["C:\\Users\\yourname\\md-converter-mcp\\server.js"]Restart Claude Desktop. You should see md-converter appear in the MCP tools list.
Connect to other MCP clients
Any client that supports the MCP stdio transport works. The server command is always:
node /path/to/server.jsCursor / VS Code (.cursor/mcp.json or mcp.json)
{
"mcpServers": {
"md-converter": {
"command": "node",
"args": ["/path/to/md-converter-mcp/server.js"]
}
}
}Usage
Once connected, tell Claude (or any MCP client) to use the tool:
"Use convert_to_markdown to read
/Users/yourname/Documents/report.pdf"
Or just drop a file reference in your message — Claude will call the tool automatically when it needs to read a supported file type.
URL example:
"Summarise https://example.com/article using convert_to_markdown"
Troubleshooting
node: command not found
Node.js is not in PATH. Use the full path to the node binary in your config:
"command": "/usr/local/bin/node"Find it with which node (macOS/Linux) or where node (Windows).
Error: File not found
The MCP server runs as a subprocess — it does not inherit your shell's working directory. Always pass absolute paths, not relative ones.
pdf-parse warning about test files
Safe to ignore. It's a known cosmetic warning in pdf-parse v1.x that does not affect output.
Tesseract OCR is slow on first run
tesseract.js downloads language data on first use and caches it. Subsequent calls are fast.
Claude Desktop shows MCP connection error
Check the config JSON for syntax errors (trailing commas are invalid JSON). Validate with node -e "JSON.parse(require('fs').readFileSync('claude_desktop_config.json','utf8'))".
Supported Node versions
Node version | Status |
18.x LTS | ✅ Tested |
20.x LTS | ✅ Tested |
22.x LTS | ✅ Tested |
16.x | ⚠️ May work, not supported |
Dependencies
Package | Purpose |
| MCP server + stdio transport |
| PDF text extraction |
| DOCX → plain text |
| PPTX slide XML extraction |
| Excel → Markdown tables |
| OCR for images |
| HTTP fetching for URLs |
| HTML → structured Markdown |
| Input validation |
License
GPL-3.0 — see LICENSE.
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