CrossRef MCP Server for Mastra AI 3 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect CrossRef through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
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: {
"crossref": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "CrossRef Agent",
instructions:
"You help users interact with CrossRef " +
"using 3 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with CrossRef?"
);
console.log(result.text);
}
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 CrossRef MCP Server
Give your AI agent direct access to the world's largest registry of scholarly metadata — 140M+ records spanning every DOI ever assigned across all scientific publishers.
Mastra's agent abstraction provides a clean separation between LLM logic and CrossRef tool infrastructure. Connect 3 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
- Universal Search — Find any published work across journals, books, conference papers, datasets, and dissertations using free-text queries
- DOI Resolution — Instant metadata lookup for any DOI with title, complete author list, journal, year, type, and citation count
- Author Discovery — Search for all publications by a specific researcher name across all major publishers simultaneously
The CrossRef MCP Server exposes 3 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect CrossRef to Mastra AI via MCP
Follow these steps to integrate the CrossRef MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 3 tools from CrossRef via MCP
Why Use Mastra AI with the CrossRef MCP Server
Mastra AI provides unique advantages when paired with CrossRef through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add CrossRef without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every CrossRef tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
CrossRef + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the CrossRef MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query CrossRef, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed CrossRef as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query CrossRef on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using CrossRef tools alongside other MCP servers
CrossRef MCP Tools for Mastra AI (3)
These 3 tools become available when you connect CrossRef to Mastra AI via MCP:
get_crossref_doi
g. 10.1038/nature12373) and get complete metadata: title, all authors, journal, year, type, citation count, and abstract. Look up any scholarly work by its DOI
search_crossref
Every result includes DOI, citation count, and full bibliographic data. The world's largest DOI registry. Search 140M+ scholarly works across all scientific disciplines
search_crossref_author
Returns their publications sorted by relevance with citation counts. Find publications by a specific author
Example Prompts for CrossRef in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with CrossRef immediately.
"Look up the paper with DOI 10.1038/nature12373 and show me all its details."
"Find all publications by Jennifer Doudna related to gene editing."
"Search CrossRef for the latest research on quantum computing error correction."
Troubleshooting CrossRef MCP Server with Mastra AI
Common issues when connecting CrossRef to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpCrossRef + Mastra AI FAQ
Common questions about integrating CrossRef MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect CrossRef with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CrossRef to Mastra AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.