AgentIndex icon
AgentIndex
pdf-mcp logo
pdf-mcp
★ 155
vs
open-brain-template logo
open-brain-template
★ 5

pdf-mcp vs open-brain-template

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.; open-brain-template: Open Brain is a visual dashboard for managing persistent, structured AI memory across multiple tools. It uses priority-based loading (P1-P4) and a brain map to control what the AI loads and when. It integrates with MCP-compatible AI tools and optionally with Mem0 and a Memory Steward smart query layer.

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 →
open-brain-template logo
open-brain-templateVision / Multimodal · ★ 5

AI power users needing persistent context across sessions

Read open-brain-template full review →
02

Side-by-Side Comparison

Field
pdf-mcp logopdf-mcp
open-brain-template logoopen-brain-template
Category
Vision / Multimodal
Vision / Multimodal
Stars
★ 155
★ 5
License
MIT
MIT
Install Command
pip install pdf-mcp
git clone https://github.com/wefilmshit/open-brain-template.git
Updated
1w ago
3mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agentic-ai, ai, claude
ai-agent, ai-memory, anthropic-managed-agents
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
open-brain-template logoopen-brain-template
01Priority-based memory loading (P1-P4)
02Visual brain map for memory hierarchy
03Semantic search via pgvector embeddings
04Cross-tool compatibility via MCP protocol
05Optional Memory Steward smart query layer with re-ranking and deduplication
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
open-brain-template logoopen-brain-template
↳AI power users needing persistent context across sessions
↳Developers building with AI agents who need project memory
↳Teams that want shared AI context across members
FAQ

FAQ

What is the difference between pdf-mcp and open-brain-template?
Both pdf-mcp and open-brain-template are in the Vision / Multimodal category. pdf-mcp has 155 stars, while open-brain-template has 5 stars.
Which is better, pdf-mcp or open-brain-template?
The best choice depends on your use case. Choose pdf-mcp if Efficiently read and analyze large PDF documents without exceeding context limits, and open-brain-template if AI power users needing persistent context across sessions.
Is pdf-mcp free or open source?
Yes, pdf-mcp is open source on GitHub (MIT).
Is open-brain-template free or open source?
Yes, open-brain-template is open source on GitHub (MIT).
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Related

Alternatives to pdf-mcp →Alternatives to open-brain-template →pdf-mcp details →open-brain-template details →