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How to Use the GenBank/NCBI API MCP in Vercel AI SDK

Stream NCBI sequence data directly into your React UI. Build real-time bioinformatics apps with the Vercel AI SDK.

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Connect GenBank/NCBI API MCP to Vercel AI SDK

Create your Vinkius account to connect GenBank/NCBI API to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Find Sequence UIDs on the Fly

The `search_ncbi_sequences` tool lets your UI find unique identifiers for genes or proteins without a page refresh. As your user types a query, the Vercel AI SDK streams results directly from the NCBI database. You get a list of UIDs back, ready to display or use in the next step. This isn't just about search. You can build interfaces that let users browse all available NCBI resources using `list_ncbi_databases`. The results appear character by character in your UI, showing exactly what's happening behind the scenes. It's a much better user experience than a loading spinner.

Live Sequence Summaries for your UI

Use `get_ncbi_summary` to pull details for a specific sequence ID and stream them right into your application. Your React or Svelte component can render the title, taxonomy, and other metadata as it arrives from the GenBank/NCBI API. It feels instant to the user. Before you make any calls, you can ping the service with `check_api_status`. This simple check ensures the NCBI E-utilities are actually online, preventing your UI from hanging on a failed request. You can build a status indicator right into your app's dashboard.

Your Vercel AI SDK MCP Server

Connecting this MCP server is straightforward. You get a single endpoint from Vinkius that handles authentication. In your Next.js app, you just point the AI SDK client to that URL. There's no complex setup for handling NCBI's specific API quirks. Because this is a managed MCP server, you don't worry about rate limits or parsing the raw XML from NCBI. The server handles that translation, giving your Vercel AI SDK clean JSON to work with. You focus on the UI, not the backend integration headaches.

Setup guide

Set up GenBank/NCBI API MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all GenBank/NCBI API tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent GenBank/NCBI API transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GenBank/NCBI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about GenBank/NCBI API MCP in Vercel AI SDK

Your agent will use the `search_ncbi_sequences` tool. Just ask it to 'find sequences for KRAS in the nuccore database'. The AI SDK streams the resulting UIDs right into your UI.
Yes. Have your agent call the `check_api_status` tool. It returns a simple 'operational' status, which you can use to display a status indicator or disable search functionality temporarily.
First, use `search_ncbi_sequences` to get all the UIDs. Then, loop through them and call `get_ncbi_summary` for each one. The AI SDK will stream the summaries concurrently, populating your UI much faster than waiting for all requests to finish.
Instruct your agent to use the `list_ncbi_databases` tool. It will return a complete list of queryable databases like 'protein', 'nuccore', and 'gene', which you can then use to build a dropdown selector in your app.
No. Your queries for genomic data, sequence IDs, and database names are proxied directly to NCBI's E-utilities. The Vinkius server is ephemeral and runs in a zero-trust sandbox; it doesn't log or store any part of your requests.

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