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MCP Paperswithcode logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 1:49:32 PM

MCP Paperswithcode

User RatingsBe the first to rate and review this MCP server!
View Repository26 GitHub StarsTotal stargazers on GitHub for the source repository (26 stars).
researchpapersmachine-learningsearchdatasets

Searches PapersWithCode for papers, authors, research areas, conferences, datasets, methods, tasks, results, and linked repositories.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "hbg-mcp-paperswithcode": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ”Ž More in Search & Data Extraction

Overview

The hbg/mcp-paperswithcode MCP server connects AI assistants to the PapersWithCode API for research discovery. It exposes MCP tools to search and retrieve papers, authors, research areas, and conference information, then inspect related tasks, methods, datasets, results, and code repositories. It can also extract readable content from a paper supplied as a direct PDF or HTML URL. Reach for it when an agent needs structured machine-learning literature metadata or context about implementations associated with published work.

Use cases

β€’Search machine-learning papers by title, abstract, or arXiv ID
β€’Inspect datasets, methods, tasks, results, and repositories linked to a paper
β€’Find papers written by a named author
β€’Explore conference proceedings and their papers
β€’Extract readable text from a paper URL

Key features

β€’Paper search with title, abstract, and arXiv ID filters
β€’Paper metadata and readable URL-based extraction
β€’Linked results, tasks, methods, datasets, and repositories
β€’Author and research-area lookup
β€’Conference, proceeding, and paper discovery

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Paperswithcode.

Extracted Tool Capabilities
Paper search with title, abstract, and arXiv ID filters
Paper metadata and readable URL-based extraction
Linked results, tasks, methods, datasets, and repositories
Author and research-area lookup
Conference, proceeding, and paper discovery

How MCP Paperswithcode works

What hbg/mcp-paperswithcode MCP server does

The hbg/mcp-paperswithcode MCP server gives an MCP-compatible assistant access to research information from PapersWithCode. Its coverage includes papers, authors, research areas, conferences, conference proceedings, benchmark results, tasks, methods, datasets, and repositories linked to papers.

Paper discovery supports optional title, abstract, and arXiv ID filters. After finding a paper, an agent can retrieve its metadata and inspect related items such as benchmark results, tasks, methods, datasets, and code repositories. The server also accepts a direct PDF or HTML URL and returns extracted readable paper text.

How it works

The server acts as an MCP client for the PapersWithCode API. An assistant calls the exposed tools with identifiers or search values, and the server returns the corresponding API information. Most detail-oriented operations use IDs returned by an earlier search or lookup, such as a paper ID, author ID, area ID, conference ID, or proceeding ID.

A typical workflow is to search for papers by title, abstract text, or arXiv ID, retrieve a selected paper, and then query its associated tasks, methods, datasets, results, or repositories. Author workflows can search by full name and list papers by either the selected author’s ID or name. Conference workflows move from a conference to its proceedings and then to papers within a proceeding.

Tools and capabilities

The hbg/mcp-paperswithcode MCP server groups its tools by research object:

  • Search and retrieve papers, including metadata and readable content from a supplied URL.
  • List a paper’s benchmark results, tasks, methods, datasets, and linked repositories.
  • Search research areas by partial or full name and retrieve area metadata or related tasks.
  • Search authors by full name, retrieve author metadata, and list papers associated with an author.
  • List conferences with an optional name filter, retrieve conference metadata, and inspect proceedings.
  • Retrieve a specific proceeding and list papers belonging to it.

Paper searches accept optional filters rather than requiring every field. Other operations require the relevant identifier, while the paper-reading tool requires a direct paper URL.

Setup and configuration

The README documents installation through Smithery for Claude Desktop using the Smithery command-line tool. It does not provide a separate project-specific package command, hosted endpoint, or local configuration example in the supplied material. The documented setup path is therefore tied to Smithery and Claude Desktop rather than a confirmed standalone installation command for the repository itself.

No API key, token, or environment variable is specified in the supplied documentation. The README also does not describe configurable request settings, storage, authentication options, or response caching.

Limitations and notes

Search and lookup behavior depends on the information available through the PapersWithCode API. Paper-content extraction requires the caller to provide a direct PDF or HTML URL; the supplied material does not state that the server discovers or downloads arbitrary papers automatically.

Several tools require identifiers. An agent may need to perform a search first to obtain the correct paper, author, research-area, conference, proceeding, or other ID. The documentation lists supported tool inputs but does not specify API rate limits, pagination behavior, error handling, freshness guarantees, or coverage beyond the listed PapersWithCode resources.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
26
Stargazers on the source repository.
npm downloads
37k
Package downloads in the last 30 days.
Last commit
1y ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about MCP Paperswithcode

The README documents installation through Smithery with its CLI, targeting Claude Desktop. It does not provide a separate project-specific installation command.

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Technical Specs & Signals

CategoryπŸ”ŽSearch & Data Extraction
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
AuthNo auth required
ClientsClaude Desktop
Last updatedSep 7, 2026
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars26
GitHub Star CountTotal stargazers on GitHub representing community popularity (26 stars).
Last commit1y ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jun 7, 2025
npm downloads37,913/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
41Quality signal: Fair Β· 41/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 21d ago via OSV.dev Β· @smithery/cli (npm)

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