How to Use the USPTO API MCP in Vercel AI SDK

Q: How do I search US patents using USPTO API with Vercel AI SDK?

You call searchpatents and pass your keyword. Because you're using the Vercel AI SDK, the results stream back in chunks. This means the user sees the initial patent list appearing on screen almost instantly.

Q: Can I get trademark details using USPTO API with Vercel AI SDK?

Yep. Just call gettrademarkdetails and provide the specific serial number. The data streams to your UI, so you don't have to worry about a slow-loading spinner for high-detail objects.

Q: How do I list patent classes using USPTO API with Vercel AI SDK?

You call listpatentclasses directly. This tool gives you the full catalog of available classification codes, which is essential context for any search you run later.

Q: Does this MCP Server support searching US trademarks with USPTO API and Vercel AI SDK?

Absolutely. Use searchtrademarks to look up US trademarks by keyword. The results stream directly into your frontend, keeping the user experience snappy while handling complex IP searches.

Show real-time IP research results right in the UI with Vercel AI SDK.

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Connect USPTO API MCP to Vercel AI SDK

Create your Vinkius account to connect USPTO 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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Setup USPTO API with Vercel AI SDK

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Audit Patents Live

The `search_patents` tool lets your client search for US patents using a keyword. You get the search results streamed back immediately, so the user sees the data appearing live instead of waiting on a loader. This streaming capability is huge for building frontends. The user doesn't wait until the whole batch of patents is found; they see the progress as your agent client streams out each record.

Check USPTO Status Fast

Need to know if the service is up before running a search? Call `check_api_status` first. This instantly confirms if the USPTO Open Data API is operational, preventing errors and giving your user immediate status feedback. It's perfect for client-facing tools where downtime looks bad. You check the status before committing to fetching details with `get_trademark_details`, making sure you don't waste time on a dead endpoint.

Get Full IP Records

Use `get_patent_details` when your user needs the deep dive into one specific patent number. This fetches every detail associated with that ID, giving you complete records to stream directly into a component. If they're investigating trademarks, simply swap it out for `get_trademark_details`. The streaming nature means even massive data objects look smooth and professional in the UI.

Setup guide

Set up USPTO 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all USPTO API tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 USPTO API transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by USPTO API. 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 USPTO API MCP in Vercel AI SDK

You call `search_patents` and pass your keyword. Because you're using the Vercel AI SDK, the results stream back in chunks. This means the user sees the initial patent list appearing on screen almost instantly.

This server touches Patent and Trademark records. When you stream these results to your frontend, you're handling sensitive Intellectual Property (IP) data. Make sure your authentication provider handles the necessary permissions.

Yep. Just call `get_trademark_details` and provide the specific serial number. The data streams to your UI, so you don't have to worry about a slow-loading spinner for high-detail objects.

You call `list_patent_classes` directly. This tool gives you the full catalog of available classification codes, which is essential context for any search you run later.

Absolutely. Use `search_trademarks` to look up US trademarks by keyword. The results stream directly into your frontend, keeping the user experience snappy while handling complex IP searches.

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