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Stanford CrossRef MCP Server for Mastra AIGive Mastra AI instant access to 16 tools to Get Citations Count, Get Funder Works, Get Journal, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Stanford CrossRef through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

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

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "stanford-crossref": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Stanford CrossRef Agent",
    instructions:
      "You help users interact with Stanford CrossRef " +
      "using 16 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Stanford CrossRef?"
  );
  console.log(result.text);
}

main();
Stanford CrossRef
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Stanford CrossRef tool infrastructure. Connect 16 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra 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 Mastra AI

When Mastra 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

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 Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 16 tools from Stanford CrossRef via MCP

Why Use Mastra AI with the Stanford CrossRef MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Stanford CrossRef without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Stanford CrossRef tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Stanford CrossRef + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Stanford CrossRef, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Stanford CrossRef as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Stanford CrossRef on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Stanford CrossRef tools alongside other MCP servers

Example Prompts for Stanford CrossRef in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Stanford CrossRef + Mastra AI FAQ

Common questions about integrating Stanford CrossRef MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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