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 an Model Context Protocol (MCP) client that can interface with the PapersWithCode API.

Additionally, helper tools are introduced to make it easier for the AI agent to make use of the information provided through the PapersWithCode API.

🚀 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 Search and Retrieval

1. Search Papers

   Search for papers with optional filtering by abstract, title, arxiv ID:

   result = await search_papers(
       abstract="neural networks",
       title="attention mechanism",
       arxiv_id=None,
       page=1,
       items_per_page=20
   )

2. Get Paper

   Get detailed information about a specific paper by ID:

   result = await get_paper(
       paper_id="paper123"
   )

3. Read Paper From URL

   Extract and read the content of a paper from its URL:

   result = await read_paper_from_url(
       paper_url="https://arxiv.org/pdf/1706.03762.pdf"
   )

Paper Components

1. List Paper Results

   Lists the results for a given paper ID in PapersWithCode:

   result = await list_paper_results(
       paper_id="paper123",
       page=1,
       items_per_page=20
   )

2. List Paper Tasks

   Retrieves the tasks associated with a specific paper ID:

   result = await list_paper_tasks(
       paper_id="paper123",
       page=1,
       items_per_page=20
   )

3. List Paper Methods

   Lists the methods related to a given paper ID:

   result = await list_paper_methods(
       paper_id="paper123",
       page=1,
       items_per_page=20
   )

4. List Paper Repositories

   Retrieves the repositories linked to a specific paper ID:

   result = await list_paper_repositories(
       paper_id="paper123",
       page=1,
       items_per_page=20
   )

5. List Paper Datasets

   List datasets used or referenced in a specific paper:

   result = await list_paper_datasets(
       paper_id="paper123",
       page=1,
       items_per_page=20
   )

Research Areas

1. Search Research Areas

   Search for research areas that exist in PapersWithCode:

   result = await search_research_areas(
       name="computer vision",
       page=1,
       items_per_page=20
   )

2. Get Research Area

   Get detailed information about a specific research area by ID:

   result = await get_research_area(
       area_id="area123"
   )

3. List Research Area Tasks

   List the tasks for a given research area ID:

   result = await list_research_area_tasks(
       area_id="area123",
       page=1,
       items_per_page=20
   )

Authors

1. Get Paper Author

   Get authors matching a full name:

   result = await get_paper_author(
       full_name="Geoffrey Hinton",
       page=1,
       items_per_page=20
   )

2. List Papers by Author ID

   List papers written by a specific author using their ID:

   result = await list_papers_by_author_id(
       author_id="author123",
       page=1,
       items_per_page=20
   )

Conferences

1. List Conferences

   List conferences with optional filtering by name:

   result = await list_conferences(
       conference_name="NeurIPS",
       page=1,
       items_per_page=20
   )

2. Get Conference

   Get detailed information about a specific conference by ID:

   result = await get_conference(
       conference_id="conf123"
   )

3. List Conference Proceedings

   List proceedings for a given conference:

   result = await list_conference_proceedings(
       conference_id="conf123",
       page=1,
       items_per_page=20
   )

4. Get Conference Proceeding

   Get detailed information about a specific conference proceeding:

   result = await get_conference_proceeding(
       conference_id="conf123",
       proceeding_id="proc123"
   )

5. List Conference Papers

   List papers presented at a specific conference proceeding:

   result = await list_conference_papers(
       conference_id="conf123",
       proceeding_id="proc123",
       page=1,
       items_per_page=20
   )

Shared threads will appear here, showcasing real-world applications and insights from the community. Check back soon for updates!