PubMed 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 PubMed 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 PubMed, 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 PubMed MCP Server
Connect your AI agent to the National Library of Medicine's PubMed database — the undisputed gold standard for biomedical and life sciences literature worldwide.
The Vercel AI SDK gives every PubMed 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
- Literature Search — Find research articles by keyword, disease name, gene symbol, drug, or any biomedical topic across 37M+ indexed articles using powerful boolean operators (AND, OR, NOT)
- Full Article Details — Retrieve comprehensive metadata including complete abstracts, all contributing authors, publishing journal, DOI, publication types, and MeSH descriptors for any article by PMID
- Citation Tracking — Discover which subsequent papers cite a specific article to trace the impact chain and follow the evolution of a research topic over time
The PubMed 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 PubMed to Vercel AI SDK via MCP
Follow these steps to integrate the PubMed 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 PubMed and passes them to the LLM
Why Use Vercel AI SDK with the PubMed MCP Server
Vercel AI SDK provides unique advantages when paired with PubMed 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 PubMed integration everywhere
Built-in streaming UI primitives let you display PubMed 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
PubMed + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the PubMed MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query PubMed in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate PubMed tools and return structured JSON responses to any frontend
Chatbots with tool use: embed PubMed capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with PubMed through natural language queries
PubMed MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect PubMed to Vercel AI SDK via MCP:
get_pubmed_article
Get full details of a PubMed article by its PMID
get_pubmed_citations
Useful for tracing the impact of a paper and finding follow-up research. Find articles that cite a specific PubMed paper
search_pubmed
Returns titles, authors, journals, abstracts, DOIs, and MeSH terms. Supports boolean operators: AND, OR, NOT. Search PubMed for biomedical and life sciences research articles
Example Prompts for PubMed in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with PubMed immediately.
"Find recent research on CRISPR gene therapy for sickle cell disease."
"Get complete details for PubMed article PMID 33782455."
"Which papers cite the original CRISPR-Cas9 paper? Show me the top citing articles."
Troubleshooting PubMed MCP Server with Vercel AI SDK
Common issues when connecting PubMed to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPubMed + Vercel AI SDK FAQ
Common questions about integrating PubMed 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 PubMed with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 PubMed to Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.