Stanford CrossRef MCP Server for Pydantic AIGive Pydantic AI instant access to 16 tools to Get Citations Count, Get Funder Works, Get Journal, and more
GDPR Free for SubscribersPydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Stanford CrossRef through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this MCP Server for Pydantic AI
The Stanford CrossRef MCP Server for Pydantic AI is a standout in the Education category — giving your AI agent 16 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Stanford CrossRef "
"(16 tools)."
),
)
result = await agent.run(
"What tools are available in Stanford CrossRef?"
)
print(result.data)
asyncio.run(main())
* 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
About Stanford CrossRef MCP Server
Connect to the CrossRef API — the authoritative source for DOI metadata and scholarly publishing infrastructure.
Pydantic AI validates every Stanford CrossRef tool response against typed schemas, catching data inconsistencies at build time. Connect 16 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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
The Stanford CrossRef MCP Server exposes 16 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 16 Stanford CrossRef tools available for Pydantic AI
When Pydantic AI connects to Stanford CrossRef through Vinkius, your AI agent gets direct access to every tool listed below — spanning crossref, doi, metadata, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get citations count on Stanford CrossRef
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
Get funder works on Stanford CrossRef
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
Get journal on Stanford CrossRef
Returns title, publisher, subjects, total DOI count, current and backfile counts, metadata coverage percentages, and quality flags. Get journal details by ISSN
Get journal works on Stanford CrossRef
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
Get publisher on Stanford CrossRef
Returns name, DOI prefix, total/current/backfile DOI counts, metadata coverage scores, and quality flags. Get publisher details with output metrics
Get reference list on Stanford CrossRef
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
Resolve doi on Stanford CrossRef
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
Search by affiliation on Stanford CrossRef
Use institution names like "Stanford University", "MIT", "Harvard Medical School". Can be combined with a topic query. Search works by institutional affiliation
Search by orcid on Stanford CrossRef
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
Search funders on Stanford CrossRef
Examples: "National Institutes of Health", "National Science Foundation", "European Research Council", "Wellcome Trust". Search funding organizations worldwide
Search journals on Stanford CrossRef
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
Search preprints on Stanford CrossRef
This covers preprints from bioRxiv, medRxiv, SSRN, ChemRxiv, and other preprint servers that register DOIs with CrossRef. Search registered preprints across all servers
Search publishers on Stanford CrossRef
Returns publisher names, DOI prefixes, and total DOI counts. Search academic publishers
Search recent works on Stanford CrossRef
Default is last 7 days. Use this to monitor the latest publications across all journals and publishers. Find the most recently registered DOIs
Search works on Stanford CrossRef
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
Validate doi on Stanford CrossRef
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
Connect Stanford CrossRef to Pydantic AI via MCP
Follow these steps to wire Stanford CrossRef into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Stanford CrossRef MCP Server
Pydantic AI provides unique advantages when paired with Stanford CrossRef through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Stanford CrossRef integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Stanford CrossRef connection logic from agent behavior for testable, maintainable code
Stanford CrossRef + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Stanford CrossRef MCP Server delivers measurable value.
Type-safe data pipelines: query Stanford CrossRef with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Stanford CrossRef tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Stanford CrossRef and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Stanford CrossRef responses and write comprehensive agent tests
Example Prompts for Stanford CrossRef in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Stanford CrossRef immediately.
"Resolve DOI 10.1038/s41586-021-03819-2"
"Find works funded by the National Institutes of Health on gene therapy"
"Look up all publications by ORCID 0000-0002-8350-519X"
Troubleshooting Stanford CrossRef MCP Server with Pydantic AI
Common issues when connecting Stanford CrossRef to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiStanford CrossRef + Pydantic AI FAQ
Common questions about integrating Stanford CrossRef MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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