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NanoPDF

io.github.R09722akaBennett/nano-pdf-mcp · v0.1.0

AI-powered PDF editing and generation MCP server using Gemini Pro.

Connect Runs on your machine

Terminal
claude mcp add nano-pdf-mcp -e GEMINI_API_KEY=<GEMINI_API_KEY> -- docker run -i --rm docker.io/taibennett/nano-pdf-mcp:0.1.0
claude_desktop_config.json
{
  "mcpServers": {
    "nano-pdf-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/taibennett/nano-pdf-mcp:0.1.0"
      ],
      "env": {
        "GEMINI_API_KEY": "<GEMINI_API_KEY>"
      }
    }
  }
}
~/.cursor/mcp.json
{
  "mcpServers": {
    "nano-pdf-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/taibennett/nano-pdf-mcp:0.1.0"
      ],
      "env": {
        "GEMINI_API_KEY": "<GEMINI_API_KEY>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "nano-pdf-mcp": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/taibennett/nano-pdf-mcp:0.1.0"
      ],
      "env": {
        "GEMINI_API_KEY": "<GEMINI_API_KEY>"
      }
    }
  }
}

Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.

Tools

This server runs locally, so its tools are listed by your MCP client once it starts.

Environment variables

NameDescription
GEMINI_API_KEY
Required, secret
Google AI Studio API key for Gemini Pro

Details

Packagedocker.io/taibennett/nano-pdf-mcp:0.1.0 (OCI, stdio)
First published24 Dec 2025
Last updated24 Dec 2025
Registry nameio.github.R09722akaBennett/nano-pdf-mcp

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