UniProt 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 UniProt through the 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 UniProt, 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 UniProt MCP Server
Connect your AI agent to UniProt — the Universal Protein Resource — the world's definitive knowledge base for protein sequence and functional information.
The Vercel AI SDK gives every UniProt tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 tools through the 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
- Protein Search — Find proteins by name, gene symbol, function, or organism across 250M+ entries from both TrEMBL (auto-annotated) and Swiss-Prot (manually curated)
- Accession Lookup — Get complete protein data by UniProt accession number (e.g., P04637 for human p53) including function, subcellular location, and full amino acid sequence
- Gene Search — Find all proteins encoded by a specific gene name across multiple organisms to compare orthologs and paralogs
The UniProt 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 UniProt to Vercel AI SDK via MCP
Follow these steps to integrate the UniProt 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 UniProt and passes them to the LLM
Why Use Vercel AI SDK with the UniProt MCP Server
Vercel AI SDK provides unique advantages when paired with UniProt 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 UniProt integration everywhere
Built-in streaming UI primitives let you display UniProt 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
UniProt + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the UniProt MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query UniProt in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate UniProt tools and return structured JSON responses to any frontend
Chatbots with tool use: embed UniProt capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with UniProt through natural language queries
UniProt MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect UniProt to Vercel AI SDK via MCP:
get_uniprot_protein
Get full protein details by UniProt accession ID
search_uniprot
Returns protein name, gene, organism, function, subcellular location, and sequence. Try: insulin, hemoglobin, p53, BRCA1, spike protein. Search UniProt for proteins by name, function, or keyword
search_uniprot_gene
Returns all protein isoforms and their functional annotations. Find proteins encoded by a specific gene
Example Prompts for UniProt in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with UniProt immediately.
"Tell me about the p53 tumor suppressor protein and its function."
"Find all proteins encoded by the BRCA1 gene."
"Look up UniProt accession Q9BYF1 and show me its full details."
Troubleshooting UniProt MCP Server with Vercel AI SDK
Common issues when connecting UniProt to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUniProt + Vercel AI SDK FAQ
Common questions about integrating UniProt 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 UniProt with your favorite client
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Connect UniProt to Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.