Empower AI assistants with access to thousands of research papers through Model Context Protocol
PaperDog provides MCP tools for AI research paper discovery. Here's how to integrate:
Search across thousands of papers with advanced filtering by category, relevance score, and date ranges.
Get AI-powered analysis including challenges, innovations, experiments, and insights for each paper.
Access daily curated top papers with comprehensive analysis and relevance scoring.
Query historical paper archives with advanced search and filtering capabilities.
Browse papers by research categories including computer vision, NLP, ML, and more.
Fair usage with 100 requests per hour and 1000 requests per day per IP address.
Add PaperDog MCP to Claude's configuration:
Then ask Claude:
Create a custom ChatGPT plugin that calls PaperDog's MCP endpoint:
Model Context Protocol (MCP) - JSON-RPC 2.0
None required (IP-based rate limiting)
JSON with paper metadata, analysis, and search results
Standard JSON-RPC error codes with descriptive messages
5-minute cache for search results, 15-minute cache for daily papers