How to Use the MonkeyLearn MCP in Vercel AI SDK

Stream real-time text analysis into your Vercel AI SDK frontends with the MonkeyLearn MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect MonkeyLearn MCP to Vercel AI SDK

Create your Vinkius account to connect MonkeyLearn 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.

GDPR Free for Subscribers

Setup MonkeyLearn with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time text classification in Vercel AI SDK

Feed user input directly into your UI by calling `classify_text` within your streamText handlers. The results appear instantly as your AI client processes the data. You don't wait for background jobs. Your React or Next.js app handles the output as it arrives, keeping the UI snappy for the end user.

Live keyword extraction for Vercel AI SDK

Pipe text through `extract_text` to pull out entities while the user interacts with your agent. It’s perfect for tagging content or updating state on the fly. The tool integrates into your edge functions without adding latency. Your users get immediate feedback based on the analysis performed by the MonkeyLearn MCP Server.

Direct metadata access for Vercel AI SDK

Check your available models using `list_classifiers` or `list_extractors` before triggering a request. This ensures your code always hits the right endpoint. `get_classifier_details` provides the specific context your AI client needs to format inputs correctly. You avoid runtime errors by fetching the exact model configuration before you send the payload.

Setup guide

Set up MonkeyLearn 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 MonkeyLearn 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 MonkeyLearn 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 MonkeyLearn. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect MonkeyLearn now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about MonkeyLearn MCP in Vercel AI SDK

Install the MCP client packages and initialize the server URL in your configuration file. You then pass the tools from the MonkeyLearn MCP Server into your generateText or streamText calls.

Yes, provided you manage your API rate limits. The server handles the communication, but you should implement your own caching for frequently used classifications.

The server returns structured data that your AI client can process immediately. While the analysis is a single request-response cycle, it works perfectly within your streaming UI architecture.

You control what text gets sent to the endpoint. We recommend sanitizing PII locally in your edge function before passing the payload to the server.

You have access to 10 tools including classification, extraction, and listing utilities. These allow your frontend agent to manage its own text analysis logic.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript