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  3. NanoPDF
NanoPDF logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 9:02:21 PM

NanoPDF

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for NanoPDF, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
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Documentation Overview

NanoPDF MCP Server

NanoPDF MCP Server is a Model Context Protocol (MCP) implementation that brings AI-powered PDF editing and generation capabilities directly to Claude Desktop. It enables users to modify existing PDF pages or generate new ones using Google's Gemini 3 Pro model, all within a privacy-focused local environment.

πŸš€ Key Features

  • AI-Driven Editing: Modify PDF slides using natural language prompts.
  • Smart Generation: Create new, visually consistent slides after any page.
  • Visual Previews: View specific PDF pages as high-quality images.
  • Privacy First: All versioning and temporary files are stored locally on your machine.
  • State Preservation: Uses Tesseract OCR to maintain searchable text layers in AI-generated pages.
  • Version Control: Built-in undo functionality for safe experimentation.

πŸ“‹ Prerequisites

System Dependencies

The server requires poppler (for PDF rendering) and tesseract (for OCR) installed on your system.

  • macOS (Homebrew):
    bash
    brew install poppler tesseract
    
  • Ubuntu/Debian:
    bash
    sudo apt-get install poppler-utils tesseract-ocr
    

Environment Variables

A Google Gemini API key is required to power the AI features.

  • GEMINI_API_KEY: Your Google AI Studio API key.

πŸ› οΈ Installation & Setup

1. Development Environment

This project uses uv for lightning-fast Python package management.

bash
# Navigate to the server directory
cd mcp-server

# Install dependencies
uv sync

2. Configure Claude Desktop

Add the NanoPDF server to your Claude Desktop configuration:

Path: ~/Library/Application Support/Claude/claude_desktop_config.json

config.json
{
  "mcpServers": {
    "nanopdf": {
      "command": "/Users/username/.local/bin/uv", # replace with your uv path
      "args": [
        "run",
        "--directory",
        "/Users/username/nano-pdf-mcp/mcp-server", # replace with your mcp-server path
        "server.py"
      ]
    }
  }
}

[!IMPORTANT] Change username to your actual macOS username. Ensure the --directory path is the absolute path to your mcp-server folder.

πŸ“– Usage Guide

For detailed tool descriptions and workflow examples, please refer to the Usage Guide.

Core Workflow

  1. Open PDF: open_pdf(pdf_path="/path/to/document.pdf")
  2. Edit/Add: edit_pdf_page(session_id="...", page_number=1, prompt="...")

πŸ“‚ Project Structure

  • mcp-server/: Core MCP server implementation.
    • server.py: Main entry point and tool definitions.
    • mcp_pdf_utils.py: PDF processing, OCR, and rendering logic.
    • mcp_ai_utils.py: Gemini Pro Vision API integration.
    • history_manager.py: Local session and version history tracker.
    • output/: Local storage for sessions and previews.
  • LICENSE: Project license (MIT).
  • USAGE.md: Detailed usage instructions and examples.

🀝 Acknowledgements

Based on the original NanoPDF project. Adapted for the Model Context Protocol.

πŸ“„ License

MIT License

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
6mo ago
Most recent push to the default branch.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about NanoPDF

We don't have a confirmed install command for NanoPDF yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/R09722akaBennett/nano-pdf-mcp) for the current steps.

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Technical Specs & Signals

Category🏒Workplace & Productivity
More technical detailsExpand β–Ύ
Last updatedMar 5, 2026
4/5 checks healthy over the last 45d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit6mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Mar 5, 2026
29Quality signal: Emerging Β· 29/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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