hbg/mcp-paperswithcode

Overview

An unofficial MCP interface for interacting with the PapersWithCode API. It provides a Model Context Protocol server that allows developers to query research papers, code implementations, and benchmarks programmatically.

Best for

Best for
Developers building AI agents or tools that need to programmatically access papers, code, and benchmarks from PapersWithCode

Use cases

• Retrieve papers by topic or keyword for research workflows
• Fetch code repositories associated with published papers
• Search and compare benchmark results across datasets

Notes

An unofficial MCP interface for interacting with the PapersWithCode API. It provides a Model Context Protocol server that allows developers to query research papers, code implementations, and benchmarks programmatically.

22 stars on GitHub. Last updated 2025-06-07. Licensed MIT.

Use cases

• Retrieve papers by topic or keyword for research workflows
• Fetch code repositories associated with published papers
• Search and compare benchmark results across datasets

Pros

• Lightweight Python implementation with minimal dependencies
• Follows the MCP standard for easy integration with AI agents
• Direct access to PapersWithCode’s structured metadata

Cons

• Unofficial tool with limited community support (22 stars)
• Relies on the PapersWithCode API which may have rate limits or change
• Documentation is sparse, requiring familiarity with both MCP and the API

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.