@parsejet/mcp-server

MCP (Model Context Protocol) server for the ParseJet API. Lets AI agents like Claude Code and Cursor parse files, URLs, and YouTube transcripts.

Tools

| Tool | Description | |------|-------------| | parse_url | Parse any URL (web page, YouTube, PDF link, etc.) | | parse_file | Parse a local file (PDF, DOCX, image, etc.) | | get_youtube_transcript | Get a YouTube video transcript |

Installation

npm install -g @parsejet/mcp-server

Or run directly with npx:

npx @parsejet/mcp-server

Configuration

API Key (optional)

Set the PARSEJET_API_KEY environment variable to authenticate. Without it, the server works anonymously with a limit of 3 requests per day.

Get your API key at parsejet.com/dashboard.

Claude Code

Add to your project's .claude/settings.json (or global ~/.claude/settings.json):

{
  "mcpServers": {
    "parsejet": {
      "command": "npx",
      "args": ["-y", "@parsejet/mcp-server"],
      "env": {
        "PARSEJET_API_KEY": "your-api-key"
      }
    }
  }
}

Cursor

Add to your Cursor MCP config (Settings > MCP Servers):

{
  "mcpServers": {
    "parsejet": {
      "command": "npx",
      "args": ["-y", "@parsejet/mcp-server"],
      "env": {
        "PARSEJET_API_KEY": "your-api-key"
      }
    }
  }
}

If installed globally, you can use parsejet-mcp instead of npx:

{
  "mcpServers": {
    "parsejet": {
      "command": "parsejet-mcp",
      "env": {
        "PARSEJET_API_KEY": "your-api-key"
      }
    }
  }
}

Usage Examples

Once configured, your AI agent can use these tools:

Parse a web page:

"Parse https://example.com and give me a summary"

Parse a local PDF:

"Parse the file at /path/to/document.pdf as markdown"

Get a YouTube transcript:

"Get the transcript of https://www.youtube.com/watch?v=dQw4w9WgXcQ"

Parse with specific output format:

"Parse https://example.com as markdown"

Development

# Install dependencies
npm install

# Build
npm run build

# Run locally
node dist/index.js

License

MIT