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hbg/mcp-paperswithcode
This MCP server provides a Model Context Protocol (MCP) client that interfaces with the PapersWithCode API.
npx -y @smithery/cli install @hbg/mcp-paperswithcode --client claudeAllows AI assistants to find and read papers, as well as view related code repositories for further context.
search_papers
Search for papers using optional filters.
get_paper
Get a paper's metadata by its ID.
read_paper_from_url
Extract readable text from a paper given its URL.
list_paper_results
List benchmark results associated with a paper.
list_paper_tasks
List tasks associated with a paper.
list_paper_methods
List methods discussed in a paper.
list_paper_repositories
List code repositories linked to a paper.
list_paper_datasets
List datasets mentioned or used in a paper.
search_research_areas
Search research areas by name.
get_research_area
Get metadata for a specific research area.
list_research_area_tasks
List tasks associated with a research area.
search_authors
Search authors by full name.
get_paper_author
Get metadata for an author by ID.
list_papers_by_author_id
List all papers written by an author via ID.
list_papers_by_author_name
Search by name and return papers for the first matching author.
list_conferences
List conferences, optionally filter by name.
get_conference
Get metadata for a specific conference.
list_conference_proceedings
List all proceedings under a conference.
get_conference_proceeding
Get details for a specific conference proceeding.
list_conference_papers
List all papers for a specific conference proceeding.
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

mendableai/firecrawl-mcp-server
A Model Context Protocol (MCP) server that brings Firecrawl to MCP-compatible AI agents — search, scrape, and interact with the live web for clean, agent-ready context.

exa-labs/exa-mcp-server
Connect AI agents to Exa for web search, content fetching, and multi-step research.

blazickjp/arxiv-mcp-server
A local MCP server for agent literature work. The differentiator is original-LaTeX section reads, BibTeX from arXiv metadata, and topic watches. Papers stay on disk.

lakehq/sail
Sail is a drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads on a distributed, multimodal compute engine.
janwilmake/openapi-mcp-server
A Model Context Protocol (MCP) server for Claude/Cursor that enables searching and exploring OpenAPI specifications through oapis.org.

haris-musa/excel-mcp-server
A Model Context Protocol server that lets AI assistants create, read and edit Excel workbooks. It needs no Microsoft Excel installation.