pdf-mcp
★ 45
vs
context-mode
★ 16.0k
pdf-mcp vs context-mode
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.; context-mode: Every tool call in an MCP (Model-Controller-Program) environment dumps raw data into the context window, quickly consuming space and causing the agent to lose track of ongoing tasks. Context Mode is an MCP server that tackles this by sandboxing tool outputs to significantly reduce context usage, tracking session events in SQLite for continuity, and promoting 'think in code' to minimize data processing within the LLM.
01
TL;DR
Choose pdf-mcp if…Efficiently read and analyze large PDF documents without exceeding context limits
Choose context-mode if…Deep repository research and analysis (e.g., architecture, contributors, issues)
02
Side-by-Side Comparison
03
Features
pdf-mcp01Hybrid 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
context-mode01Context Saving: Sandbox tools keep raw data out of the context window, achieving up to 98% reduction.
02Session Continuity: Tracks every file edit, git operation, task, and user decision in SQLite for seamless session resume.
03Think in Code: Promotes LLMs to program analysis, not compute it, saving 100x context by logging only results.
04Batch Execution & Search: Run multiple commands/queries in one call with tools like `ctx_batch_execute`.
05Advanced Knowledge Base: Uses SQLite FTS5 with BM25 ranking, smart snippets, and TTL cache for efficient information retrieval.
04
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
context-mode↳Deep repository research and analysis (e.g., architecture, contributors, issues)
↳Analyze Git history to identify top contributors, commit frequency, and most changed files
↳Efficiently process large JSON APIs, web pages, or logs without flooding the context window
05
Best For
pdf-mcpTrendingCode AssistantRAG / Knowledge Base
context-modeTrendingDev ToolingMemory & Context
FAQ
FAQ
What is the difference between pdf-mcp and context-mode?
Both pdf-mcp and context-mode are in the Vision / Multimodal category. pdf-mcp has 45 stars, while context-mode has 16.0k stars.
Which is better, pdf-mcp or context-mode?
The best choice depends on your use case. Choose pdf-mcp if Efficiently read and analyze large PDF documents without exceeding context limits, and context-mode if Deep repository research and analysis (e.g., architecture, contributors, issues).
Is pdf-mcp free or open source?
Yes, pdf-mcp is open source on GitHub (MIT).
Is context-mode free or open source?
Yes, context-mode is open source on GitHub (NOASSERTION).
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