CrossRef MCP Server for Vercel AI SDK 3 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CrossRef through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using CrossRef, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every CrossRef tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the CrossRef MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 3 tools from CrossRef and passes them to the LLM
Why Use Vercel AI SDK with the CrossRef MCP Server
Vercel AI SDK provides unique advantages when paired with CrossRef through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same CrossRef integration everywhere
Built-in streaming UI primitives let you display CrossRef tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
CrossRef + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CrossRef MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CrossRef in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CrossRef tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CrossRef capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CrossRef through natural language queries
CrossRef MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect CrossRef to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting CrossRef to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCrossRef + Vercel AI SDK FAQ
Common questions about integrating CrossRef MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.