Compatible with every major AI agent and IDE
What is the Stanford CrossRef MCP Server?
Connect to the CrossRef API — the authoritative source for DOI metadata and scholarly publishing infrastructure.
What you can do
- DOI Resolution — Resolve any DOI to complete bibliographic metadata
- Works Search — Search 150M+ DOI-registered works with advanced filters
- Journal Registry — Query journals by title or ISSN with coverage metrics
- Publisher Profiles — Explore academic publishers (Elsevier, Springer, Wiley)
- Funder Registry — Search funding organizations (NIH, NSF, ERC, Wellcome Trust)
- ORCID Lookup — Find works by researcher ORCID identifier
- Affiliation Search — Search works by institutional affiliation
- Citation Counts — Get citation and reference counts for any DOI
- Reference Lists — Extract complete bibliographies from published works
- Preprint Search — Find preprints registered with CrossRef
- DOI Validation — Verify whether a DOI is valid and registered
- Recent Works — Monitor the latest DOI registrations
Who is this for?
- Researchers — DOI resolution and bibliography management
- Librarians — journal evaluation and publisher analysis
- Research Administrators — funder tracking and institutional output
- Bibliometricians — large-scale publication analytics
Built-in capabilities (16)
The "is-referenced-by-count" is the number of times other works cite this DOI. The "references-count" is how many references this work cites. Quick way to assess a paper's impact. Get citation count for a DOI
Use the funder ID from search_funders (e.g. "100000002" for NIH). Essential for understanding research funding landscapes and tracking funded output. Get works funded by a specific funding organization
Returns title, publisher, subjects, total DOI count, current and backfile counts, metadata coverage percentages, and quality flags. Get journal details by ISSN
Can be filtered with an optional text query. Useful for browsing a journal's publication history or searching within a specific journal. Get articles published in a specific journal
Returns name, DOI prefix, total/current/backfile DOI counts, metadata coverage scores, and quality flags. Get publisher details with output metrics
Returns all cited references with their DOIs (when available), authors, titles, journals, and years. Essential for bibliography analysis, finding source material, and understanding a paper's intellectual foundations. Get full reference list (bibliography) for a DOI
Returns title, authors, journal, publisher, publication date, volume, issue, pages, citation count, reference count, subject areas, and license information. The definitive tool for getting structured metadata from any DOI. Resolve a DOI to full bibliographic metadata
Use institution names like "Stanford University", "MIT", "Harvard Medical School". Can be combined with a topic query. Search works by institutional affiliation
ORCID is the universal researcher identifier. Format: "0000-0002-1825-0097". Essential for finding the complete publication record of a researcher across all journals and publishers. Find works by ORCID author identifier
Examples: "National Institutes of Health", "National Science Foundation", "European Research Council", "Wellcome Trust". Search funding organizations worldwide
Returns journal titles, ISSNs, publishers, subject areas, total DOI counts, and metadata coverage scores. Use this to find journal identifiers and evaluate journal metrics. Search academic journals by title or ISSN
This covers preprints from bioRxiv, medRxiv, SSRN, ChemRxiv, and other preprint servers that register DOIs with CrossRef. Search registered preprints across all servers
Returns publisher names, DOI prefixes, and total DOI counts. Search academic publishers
Default is last 7 days. Use this to monitor the latest publications across all journals and publishers. Find the most recently registered DOIs
Supports full-text query, filters, sorting, and pagination. Filter syntax: "from-pub-date:2024-01-01", "type:journal-article", "has-orcid:true", "has-references:true", "is-update:false". Sort options: "relevance", "published", "indexed", "is-referenced-by-count". Search 150M+ DOI-registered academic works
Returns whether the DOI exists in CrossRef, along with basic metadata (title, type, publisher) if valid. Useful for quality-checking reference lists and citation data. Check if a DOI is valid and registered
Why LlamaIndex?
LlamaIndex agents combine Stanford CrossRef tool responses with indexed documents for comprehensive, grounded answers. Connect 16 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Stanford CrossRef tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Stanford CrossRef tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Stanford CrossRef, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Stanford CrossRef tools were called, what data was returned, and how it influenced the final answer
Stanford CrossRef in LlamaIndex
Stanford CrossRef and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Stanford CrossRef to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Stanford CrossRef in LlamaIndex
The Stanford CrossRef MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 16 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Stanford CrossRef for LlamaIndex
Every tool call from LlamaIndex to the Stanford CrossRef MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Do I need an API key?
No. The CrossRef API is fully public. Including a mailto address gets you into the "polite pool" with higher rate limits, which this server handles automatically.
What is a DOI?
A Digital Object Identifier (DOI) is a unique, permanent identifier assigned to academic publications, datasets, and other research outputs. Format: "10.1038/s41586-021-03819-2". CrossRef is the largest DOI registration agency with over 150 million registered DOIs.
Can I search by ORCID?
Yes. You can look up all works associated with a researcher's ORCID identifier. ORCID provides a unique, persistent identifier for researchers — similar to what DOI does for publications.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Stanford CrossRef tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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