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Stanford CrossRef MCP Server for LlamaIndexGive LlamaIndex instant access to 16 tools to Get Citations Count, Get Funder Works, Get Journal, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Stanford CrossRef as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

The Stanford CrossRef MCP Server for LlamaIndex is a standout in the Education category — giving your AI agent 16 tools to work with, ready to go from day one.

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python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Stanford CrossRef. "
            "You have 16 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Stanford CrossRef?"
    )
    print(response)

asyncio.run(main())
Stanford CrossRef
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* 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.

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.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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

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

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

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

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

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

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

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

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

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

Search funders on Stanford CrossRef

Examples: "National Institutes of Health", "National Science Foundation", "European Research Council", "Wellcome Trust". Search funding organizations worldwide

search

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

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

Search publishers on Stanford CrossRef

Returns publisher names, DOI prefixes, and total DOI counts. Search academic publishers

search

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

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

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 LlamaIndex via MCP

Follow these steps to wire Stanford CrossRef into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 16 tools from Stanford CrossRef

Why Use LlamaIndex with the Stanford CrossRef MCP Server

LlamaIndex provides unique advantages when paired with Stanford CrossRef through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Stanford CrossRef tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Stanford CrossRef tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Stanford CrossRef, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Stanford CrossRef tools were called, what data was returned, and how it influenced the final answer

Stanford CrossRef + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Stanford CrossRef MCP Server delivers measurable value.

01

Hybrid search: combine Stanford CrossRef real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Stanford CrossRef to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Stanford CrossRef for fresh data

04

Analytical workflows: chain Stanford CrossRef queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Stanford CrossRef in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Stanford CrossRef immediately.

01

"Resolve DOI 10.1038/s41586-021-03819-2"

02

"Find works funded by the National Institutes of Health on gene therapy"

03

"Look up all publications by ORCID 0000-0002-8350-519X"

Troubleshooting Stanford CrossRef MCP Server with LlamaIndex

Common issues when connecting Stanford CrossRef to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Stanford CrossRef + LlamaIndex FAQ

Common questions about integrating Stanford CrossRef MCP Server with LlamaIndex.

01

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.
02

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.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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