What is Mcp Paperswithcode

mcp-paperswithcode is an unofficial MCP interface that allows users to interact with the PapersWithCode API, enabling AI assistants to find and read research papers and access related code repositories.

Use cases

Use cases include assisting researchers in finding relevant papers, enabling AI systems to summarize research findings, and providing context for machine learning models by linking to associated code.

How to use

To use mcp-paperswithcode, install it via Smithery with the command: npx -y @smithery/cli install @hbg/mcp-paperswithcode --client claude. After installation, you can utilize various tools for searching and retrieving papers.

Key features

Key features include searching for papers with filters, retrieving detailed information about specific papers, reading papers from URLs, and listing results, tasks, and methods associated with papers.

Where to use

mcp-paperswithcode can be used in academic research, AI development, and any field that requires access to scientific literature and related codebases.

mcp-paperswithcode

🦾 Features

Allows AI assistants to find and read papers, as well as view related code repositories for further context.

This MCP server provides a Model Context Protocol (MCP) client that interfaces with the PapersWithCode API.

It includes tools for searching, retrieving, and parsing information on research papers, authors, datasets, conferences, and more.

🚀 Getting Started

Installing via Smithery

To install mcp-paperswithcode for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @hbg/mcp-paperswithcode --client claude

🛠️ Tools

📚 Paper Tools

search_papers

Search for papers using optional filters.

• abstract (str, optional): Filter by abstract text.
• title (str, optional): Filter by title text.
• arxiv_id (str, optional): Filter by ArXiv ID.

get_paper

Get a paper’s metadata by its ID.

• paper_id (str): The paper ID.

read_paper_from_url

Extract readable text from a paper given its URL.

• paper_url (str): The direct PDF or HTML URL to a paper.

list_paper_results

List benchmark results associated with a paper.

• paper_id (str): The paper ID.

list_paper_tasks

List tasks associated with a paper.

• paper_id (str): The paper ID.

list_paper_methods

List methods discussed in a paper.

• paper_id (str): The paper ID.

list_paper_repositories

List code repositories linked to a paper.

• paper_id (str): The paper ID.

list_paper_datasets

List datasets mentioned or used in a paper.

• paper_id (str): The paper ID.

🧠 Research Area Tools

search_research_areas

Search research areas by name.

• name (str): Partial or full name of the research area.

get_research_area

Get metadata for a specific research area.

• area_id (str): The area ID.

list_research_area_tasks

List tasks associated with a research area.

• area_id (str): The area ID.

👨‍🔬 Author Tools

search_authors

Search authors by full name.

• full_name (str): Full name of the author.

get_paper_author

Get metadata for an author by ID.

• author_id (str): The author ID.

list_papers_by_author_id

List all papers written by an author via ID.

• author_id (str): The author ID.

list_papers_by_author_name

Search by name and return papers for the first matching author.

• author_name (str): Full name of the author.

🎓 Conference Tools

list_conferences

List conferences, optionally filter by name.

• conference_name (str, optional): Full or partial name.

get_conference

Get metadata for a specific conference.

• conference_id (str): The conference ID.

list_conference_proceedings

List all proceedings under a conference.

• conference_id (str): The conference ID.

get_conference_proceeding

Get details for a specific conference proceeding.

• conference_id (str): The conference ID.
• proceeding_id (str): The proceeding ID.

list_conference_papers

List all papers for a specific conference proceeding.

• conference_id (str): The conference ID.
• proceeding_id (str): The proceeding ID.