Cloud scientific-paper MCP · Public access in preparation
Give your AI agent papers it can actually cite.
SciContext is preparing a cloud MCP that will let agents search or resolve real papers, query one paper for focused passages, and request a compact provenance receipt when evidence needs an audit trail.
SciContext is designed to handle paper retrieval inside your agent workflow. Your agent keeps control of reasoning and synthesis.
How is scaled dot-product attention computed?
- status
- ready
- passages
- 5 returned
- rights
- CC-BY-4.0
- answer term
- top passage
Planned public MCP tools
Find or identify. Then ask.
At public launch, search and resolve will be two entry points to a sci_id that agents can question with query_paper.
Two ways in
search_papers
Search non-retracted open-access papers by meaning when you do not have an identifier yet.
resolve_paper
Resolve a DOI, PMID, PMCID, OpenAlex, arXiv, or SciContext reference to stable paper metadata.
sci_idquery_paper
At public launch, agents will ask one focused question and retrieve up to five paper-scoped passages when full text is supported. Add prov: true when your agent needs one compact provenance receipt.
Launch paper providers.
As an independent project, SciContext will launch with arXiv papers in one consistent, citable interface. More providers will follow where they add useful coverage.
Planned for launch
- arXivPreprints; passages when full text is available
Next paper providers
- PubMed Central (PMC)Planned
- Europe PMCPlanned
- COREPlanned
- bioRxiv / medRxivPlanned
- OpenReviewPlanned
Metadata providers.
SciContext combines complementary scholarly metadata to improve paper identity, bibliographic details, topic discovery, citation links, and integrity checks—so agents receive cleaner, better-grounded results.
Planned for launch
- OpenAlexDiscovery, paper identity & topics
- CrossrefDOI metadata & integrity signals
- DataCiteDOI registry metadata
- OpenCitationsOutgoing reference links
Next metadata provider
- UnpaywallPlanned