AgentIndex icon
AgentIndex
pdf-mcp logo
pdf-mcp
★ 155
vs
openrouter-mcp-multimodal logo
openrouter-mcp-multimodal
★ 100

pdf-mcp vs openrouter-mcp-multimodal

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.; openrouter-mcp-multimodal: The only OpenRouter MCP server with native vision, image generation, and smart image optimization. It provides access to over 300 LLMs through the Model Context Protocol, supporting multimodal workflows like image analysis, image generation, and chat. The server features zero external HTTP dependencies, lazy sharp loading, and a singleton model cache for efficient performance.

01

TL;DR

pdf-mcp logo
pdf-mcpVision / Multimodal · ★ 155

Efficiently read and analyze large PDF documents without exceeding context limits

Read pdf-mcp full review →
openrouter-mcp-multimodal logo
openrouter-mcp-multimodalVision / Multimodal · ★ 100

Chat with any of 300+ models via natural language

Read openrouter-mcp-multimodal full review →
02

Side-by-Side Comparison

Field
pdf-mcp logopdf-mcp
openrouter-mcp-multimodal logoopenrouter-mcp-multimodal
Category
Vision / Multimodal
Vision / Multimodal
Stars
★ 155
★ 100
License
MIT
MIT
Install Command
pip install pdf-mcp
npm install -g @stabgan/openrouter-mcp-multimodal
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agentic-ai, ai, claude
ai, claude, image-analysis
03

Features

pdf-mcp logopdf-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
openrouter-mcp-multimodal logoopenrouter-mcp-multimodal
01Native image analysis (vision) with sharp optimization
02Image generation from text prompts
03Auto image resize and compression (800px max, JPEG 80%)
04Model search and validation
05Zero external HTTP dependencies (native fetch only)
04

Use Cases

pdf-mcp logopdf-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
openrouter-mcp-multimodal logoopenrouter-mcp-multimodal
↳Chat with any of 300+ models via natural language
↳Analyze images from local files, URLs, or data URIs
↳Generate images from text prompts and save to disk
FAQ

FAQ

What is the difference between pdf-mcp and openrouter-mcp-multimodal?
Both pdf-mcp and openrouter-mcp-multimodal are in the Vision / Multimodal category. pdf-mcp has 155 stars, while openrouter-mcp-multimodal has 100 stars.
Which is better, pdf-mcp or openrouter-mcp-multimodal?
The best choice depends on your use case. Choose pdf-mcp if Efficiently read and analyze large PDF documents without exceeding context limits, and openrouter-mcp-multimodal if Chat with any of 300+ models via natural language.
Is pdf-mcp free or open source?
Yes, pdf-mcp is open source on GitHub (MIT).
Is openrouter-mcp-multimodal free or open source?
Yes, openrouter-mcp-multimodal is open source on GitHub (MIT).
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Related

Alternatives to pdf-mcp →Alternatives to openrouter-mcp-multimodal →pdf-mcp details →openrouter-mcp-multimodal details →