MCP server that lets Claude Code and other AI agents read and search large PDFs, one file or a whole folder: agentic RAG with hybrid semantic + keyword search, selective page reads, tables, images, OCR, chart data, and multi-column/CJK layouts.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,892
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
pdf-mcp gained 10 stars in the last 30 days, about 1 a day, and now has 147. It is about 1 year old and has averaged roughly 147 stars a year. It ranks #1,892 among Python repositories and #14,865 across all languages on GitHubRepo.
Trending Record
19
DAYS ON TRENDING
#3533
BEST RANK
Sep 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
pdf-mcp has maintained a continuous presence across global trending indexes, peaking at #3533. Below is the 30-day activity profile:
💡 Overview
pdf-mcp is an open-source project written in Python: MCP server that lets Claude Code and other AI agents read and search large PDFs, one file or a whole folder: agentic RAG with hybrid semantic + keyword search, selective page reads, tables, images, OCR, chart data, and multi-column/CJK layouts.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-rag, ai, cjk. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install pdf-mcp⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
pdf-mcp coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with pdf-mcp.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install pdf-mcp using your package manager: `pip install pdf-mcp`
Initialize your project workspace or configuration file for pdf-mcp.
Import pdf-mcp into your codebase or invoke it directly from your terminal.
Execute your test suite or run `pdf-mcp --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
jztan/pdf-mcp is currently ranked #14,865 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #14,820 | Kentucky-ai/opentakeoff | TypeScript | ★ 148 | Compare ↗ |
| #14,820 | meta-models/meta-model-cookbook | Python | ★ 148 | Compare ↗ |
| #14,820 | UiPath/coder_eval | Python | ★ 148 | Compare ↗ |
| #14,820 | HuangZeLinCute/CourtMind | Python | ★ 148 | Compare ↗ |
| #14,820 | iamyoki/qwen-image-2.1-skill | Python | ★ 148 | Compare ↗ |
| #14,865 | jztan/pdf-mcp This Project | Python | ★ 147 | |
| #14,865 | glenngillen/semantic_form_builder | Ruby | ★ 147 | Compare ↗ |
| #14,865 | defunkt/lyndon | Ruby | ★ 147 | Compare ↗ |
| #14,865 | 280north/jake | JavaScript | ★ 147 | Compare ↗ |
| #14,865 | jonathangeiger/kohana-jelly | PHP | ★ 147 | Compare ↗ |
| #14,865 | aws/aws-sdk-net | C# | ★ 147 | Compare ↗ |
Frequently Asked Questions
What does pdf-mcp do? +
MCP server that lets Claude Code and other AI agents read and search large PDFs, one file or a whole folder: agentic RAG with hybrid semantic + keyword search, selective page reads, tables, images, OCR, chart data, and multi-column/CJK layouts.
What language is pdf-mcp written in? +
The primary language is Python. Topics include: agentic-rag, ai, cjk, claude, claude-code.
Is pdf-mcp actively maintained? +
Yes, the last recorded push was on Oct 1, 2026 with 1 open issues being tracked.
How many stars does pdf-mcp have? +
pdf-mcp has 147 stars and 14 forks on GitHub.
How does pdf-mcp rank among GitHub repositories? +
With 147 stars, jztan/pdf-mcp is ranked #14,865 globally across all repositories tracked on GitHubRepo and #1,892 among Python projects.
What license is pdf-mcp distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
