paperswithcode
No liveness check has reached it yet; it has been in the index since 10 Oct 2026. How this is checked
Paperswithcode MCP Server exposes JSON-RPC tools for searching machine-learning papers, viewing trending research, retrieving paper details, and finding linked implementations. It is intended for AI assistants, researchers, and developers using MCP-compatible clients.
Inferred · not functionally tested
Overview
6 featuresPurpose: Finding relevant machine-learning papers, summaries, and implementations without manually searching multiple research repositories.
Inferred · not functionally tested
Audience: AI researchers and machine-learning developers
Inferred · not functionally tested
Functions: rag, data_extraction
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: unknown · Self-hosting: unknown
Recorded constraints: pricing: unknown · license: Proprietary · platforms: WEB · deployment: browser, api_only, cloud_managed
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: gateway.pipeworx.io. These links do not verify the individual claims.
paperswithcode is a RAG, search & retrieval project. Inferred · not functionally tested: It focuses on finding relevant machine-learning papers, summaries, and implementations without manually searching multiple research repositories. Inferred · not functionally tested: It is built as a B2B product for AI researchers and machine-learning developers. Basis unknown · not verified: It runs on the web and API.
Pipeworx builds and maintains paperswithcode. Inferred · not functionally tested: Among its 6 catalogued features are paper search, trending papers, and paper details. Inferred · not functionally tested: Catalogued interfaces include an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Paper search
- Trending papers
- Paper details
- AI summaries
- Implementation search
- GitHub links
Topics: Inferred · not functionally tested
Built with & integrations
- Cloudflare
- cf-ray header
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed10 Oct · 00:02 UTCPaperswithcode seen via MCP Registry (official)Source: MCP Registry (official) · Open
Frequently asked questions about paperswithcode
- What does paperswithcode do?
- Inferred · not functionally tested: Paperswithcode focuses on finding relevant machine-learning papers, summaries, and implementations without manually searching multiple research repositories. It is catalogued under RAG, search & retrieval on PulseGate.
- Who should use paperswithcode?
- Inferred · not functionally tested: paperswithcode is a B2B product built for AI researchers and machine-learning developers.
- What platforms does paperswithcode run on?
- Basis unknown · not verified: paperswithcode runs on the web and API.
- Is paperswithcode still maintained?
- Unverified. paperswithcode has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
- What are alternatives to paperswithcode?
- Similar projects tracked by PulseGate include codewars, coinpaprika, and semanticscholar.codewarscoinpaprikasemanticscholar
- Who develops paperswithcode?
- paperswithcode is developed by Pipeworx.
- Does paperswithcode have an API or integrations?
- Inferred · not functionally tested: Yes — paperswithcode exposes an MCP server.
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