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  1. Home
  2. πŸ› οΈ Other Tools and Integrations
  3. Pdf Tools MCP
Pdf Tools MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 10:47:13 AM

Pdf Tools MCP

User RatingsBe the first to rate and review this MCP server!
View Repository31 GitHub StarsTotal stargazers on GitHub for the source repository (31 stars).
pdfdocument-processingfile-systemsmcp

Renders, extracts, downloads, and combines PDF content through MCP tools.

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.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "danielkennedy1-pdf-tools-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ› οΈ More in Other Tools and Integrations

Overview

Render, inspect, download, and combine PDFs with the danielkennedy1/pdf-tools-mcp MCP server. It exposes local and remote PDF operations through the Model Context Protocol, including page rendering, metadata and text extraction, snippets, and document fusion. Reach for it when an agent needs to examine PDF content or perform basic PDF page and document operations without a separate application.

Use cases

β€’Render PDF pages for visual inspection
β€’Extract text blocks from local documents
β€’Download PDFs from URLs for local processing
β€’Combine pages from multiple PDFs
β€’Read PDF metadata before processing

Key features

β€’Local PDF page rendering
β€’Remote PDF rendering and downloading
β€’Metadata and text extraction
β€’Page snippets and long-page merging
β€’Multi-document page fusion

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Pdf Tools MCP.

Extracted Tool Capabilities
Local PDF page rendering
Remote PDF rendering and downloading
Metadata and text extraction
Page snippets and long-page merging
Multi-document page fusion

How Pdf Tools MCP works

What danielkennedy1/pdf-tools-mcp MCP server does

The danielkennedy1/pdf-tools-mcp MCP server provides PDF utilities for agents using the Model Context Protocol. Its local operations work with PDFs available to the server, while remote operations can render pages from a remote PDF or download a PDF from a URL into local storage.

The toolset covers both inspection and document manipulation. Agents can render pages as images, read document metadata, extract text blocks and detailed text information, create page snippets, merge pages into one long page, and fuse pages from multiple documents into a new document. The available features make it suitable for workflows that need to inspect PDFs visually or structurally before performing a limited set of transformations.

How it works

The server registers PDF operations as MCP tools and exposes them through the MCP protocol. A compatible client sends a tool request, and the local Python process performs the requested PDF operation using the project’s PDF-processing dependencies.

Remote workflows include fetching a PDF from a URL for local use and rendering pages from a remote document. Local documents are stored using UUID4 filenames, according to the README, which avoids using predictable filenames for stored PDF files. The project requires Python 3.12 or newer.

Rendering is available for both local and remote PDFs. Text extraction returns text blocks and more detailed text information, while metadata extraction is intended for document inspection. Page-oriented operations include freeform or full-width snippets, page merging, and combining pages from several documents.

Setup and configuration

The documented manual setup starts by cloning the repository and installing the project in editable mode with uv pip install -e .. After installation, start the server with:

bash
python -m src.main

The README also documents Smithery installation for Claude Desktop using the Smithery CLI. That route is client-specific and is separate from the manual Python setup. No API keys, environment variables, or external service credentials are specified in the provided material.

The project lists PyMuPDF, aiohttp, aiofiles, python-magic-bin, and the Python MCP framework among its dependencies. These dependencies support PDF processing, asynchronous file and network operations, file-type detection, and MCP tool registration.

Tools and capabilities

The danielkennedy1/pdf-tools-mcp MCP server supports these documented capabilities:

  • Render pages from local PDFs as images.
  • Render pages from remote PDFs as images.
  • Extract PDF metadata.
  • Extract text blocks and detailed text information.
  • Create freeform or full-width page snippets.
  • Merge multiple pages into one long page.
  • Fuse pages from multiple documents into a single document.
  • Download PDFs from URLs to local storage.

Limitations and notes

The provided documentation describes PDF rendering, extraction, downloading, and page/document operations, but does not specify supported PDF versions, output image formats, page-range syntax, maximum file sizes, or error behavior. It also does not list named MCP tool identifiers or detailed request and response schemas.

The README states that Python 3.12 or newer is required. Because the server performs remote downloads, its runtime needs access to the relevant URLs, but the provided material does not define network restrictions or timeout settings. License information identifies the project as MIT-licensed.

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
31
Stargazers on the source repository.
Directory activity
3 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 Pdf Tools MCP

Clone the repository, run `uv pip install -e .`, and start it with `python -m src.main`. The README also documents installation through Smithery for Claude Desktop.

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Technical Specs & Signals

CategoryπŸ› οΈOther Tools and Integrations
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseMIT
ClientsClaude Desktop
Last updatedSep 7, 2026
Views3
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 stars31
GitHub Star CountTotal stargazers on GitHub representing community popularity (31 stars).
40Quality signal: Fair Β· 40/100How 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 & tools16/30
Adoption & activity4/15
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.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 20d ago via OSV.dev Β· @smithery/cli (npm)

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