MCP server that lets Claude Code and other AI agents read and search large PDFs, one file or a whole folder: agentic...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 71/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Claude Code
Model
Multiple
Fastest way to find out if pdf-mcp belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add pdf-mcp -- npx pdf-mcpRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove pdf-mcpNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ pdf-mcp ← registers here
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.
Source: GitHub repository
Source check: November 1, 2026
Upstream commit: November 1, 2026
Repository state: Not marked archived
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