pdf-mcp

★ 155

gnosis-mcp

★ 29

pdf-mcp vs gnosis-mcp

Q: Which is better, pdf-mcp or gnosis-mcp?

By GitHub stars, pdf-mcp has more community adoption, but the best choice depends on your specific use case.

pdf-mcp: pdf-mcp is a Model Context Protocol (MCP) server that enables AI agents to read, search, and extract content from PDF files. It uses PyMuPDF for PDF parsing, SQLite for persistent caching, and supports hybrid search combining BM25 keyword and semantic embeddings, OCR for scanned documents, and structured extraction of tables and images.; gnosis-mcp: Gnosis MCP ingests documentation from local files, git history, and web crawls, making them searchable via MCP tools with hybrid keyword and semantic search. It supports SQLite and PostgreSQL backends, integrates with editors like Claude Code and VS Code, and requires zero configuration to start.

TL;DR

pdf-mcpVision / Multimodal · ★ 155

Efficiently read and analyze large PDF documents without exceeding context limits

Read pdf-mcp full review →

gnosis-mcpDev Tooling · ★ 29

AI agents query documentation to avoid hallucinations and get precise answers.

Read gnosis-mcp full review →

Side-by-Side Comparison

Field

pdf-mcp

gnosis-mcp

Features

pdf-mcp

01Hybrid search (BM25 keyword + semantic embeddings) with Reciprocal Rank Fusion

02Paginated reading to avoid context overflow

03OCR support for scanned and image-based PDFs via Tesseract

04Structured extraction of tables, images, and table of contents

05Persistent SQLite cache with automatic invalidation

gnosis-mcp

01Zero config — SQLite by default, pip install and go

02Hybrid search — keyword (BM25) + semantic (local ONNX embeddings)

03Git history ingestion — search commit messages as context

04Web crawl — ingest docs from any website

05Multi-format support — .md, .txt, .ipynb, .toml, .csv, .json, etc.

Use Cases

pdf-mcp

↳Efficiently read and analyze large PDF documents without exceeding context limits

↳Search for specific content or concepts within PDFs using natural language

↳Extract structured data such as tables and images from PDFs

gnosis-mcp

↳AI agents query documentation to avoid hallucinations and get precise answers.

↳Developers onboard new teams by ingesting project docs and git history to answer codebase questions instantly.

↳Maintain up-to-date documentation index by automatically crawling documentation websites.

FAQ

What is the difference between pdf-mcp and gnosis-mcp?

Both pdf-mcp and gnosis-mcp are in the Vision / Multimodal category. pdf-mcp has 155 stars, while gnosis-mcp has 29 stars.

Which is better, pdf-mcp or gnosis-mcp?

The best choice depends on your use case. Choose pdf-mcp if Efficiently read and analyze large PDF documents without exceeding context limits, and gnosis-mcp if AI agents query documentation to avoid hallucinations and get precise answers..

Is pdf-mcp free or open source?

Yes, pdf-mcp is open source on GitHub (MIT).

Is gnosis-mcp free or open source?

Yes, gnosis-mcp is open source on GitHub (MIT).

Cloud Infrastructure

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Alternatives to pdf-mcp →Alternatives to gnosis-mcp →pdf-mcp details →gnosis-mcp details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

FAQ

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