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packforai-mcp
Advanced tools
MCP server for PackForAI — convert PDF, DOCX, PPTX, XLSX, CSV, JSON into clean, AI-ready Markdown from Claude, Cursor and other MCP clients.
Convert PDF, DOCX, PPTX, XLSX, CSV and JSON into clean, compact, AI-ready Markdown, directly inside Claude, Cursor and any other MCP client. Powered by PackForAI.
Instead of pasting a messy PDF into your AI (broken text, lost tables, wasted tokens), ask your assistant to convert it first: it comes back as clean Markdown with up to 65% fewer tokens.
The server runs via npx, so there is nothing to install globally. Add it to your MCP client's config.
Edit claude_desktop_config.json (Settings → Developer → Edit Config) and add:
{
"mcpServers": {
"packforai": {
"command": "npx",
"args": ["-y", "packforai-mcp"],
"env": { "PACKFORAI_API_KEY": "your_key_here" }
}
}
}
Restart Claude Desktop.
Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):
{
"mcpServers": {
"packforai": {
"command": "npx",
"args": ["-y", "packforai-mcp"],
"env": { "PACKFORAI_API_KEY": "your_key_here" }
}
}
}
Once connected, just ask your assistant, for example:
~/Downloads/Q4-report.pdf to clean Markdown."https://example.com/spec.docx and give me the AI-ready version."/path/to/scan.pdf."convert_document
| Param | Type | Description |
|---|---|---|
path | string | Absolute path to a local document file. |
url | string | Public https URL of a document to fetch and convert. |
ocr | boolean | Force OCR for scanned / image-only PDFs (Pro). Default false. |
full | boolean | Return the full document.md (e.g. complete spreadsheet tables) instead of the compact version. Default false. |
Provide either path or url. Returns the Markdown plus a token-savings summary.
PACKFORAI_API_KEY (required) — your PackForAI API key.PACKFORAI_BASE_URL (optional) — override the API base (defaults to https://packforai.com/api/v1).MIT
FAQs
MCP server for PackForAI — convert PDF, DOCX, PPTX, XLSX, CSV, JSON into clean, AI-ready Markdown from Claude, Cursor and other MCP clients.
We found that packforai-mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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