MonkeyLearn MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Classify Text, Extract Text Entities, Get Api Status, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect MonkeyLearn through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The MonkeyLearn MCP Server for Vercel AI SDK is a standout in the Customer Support category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 MonkeyLearn, 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 MonkeyLearn MCP Server
Connect your MonkeyLearn account to any AI agent and run NLP text analysis through natural conversation.
The Vercel AI SDK gives every MonkeyLearn tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Text Classification — Classify text by sentiment, topic, intent, or custom labels
- Entity Extraction — Pull structured data like names, keywords, and addresses from text
- NLP Workflows — Run multi-step Studio workflows for complex pipelines
- Model Management — List classifiers, extractors, model versions, and tags
- Account Status — Verify API connectivity
The MonkeyLearn MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 MonkeyLearn tools available for Vercel AI SDK
When Vercel AI SDK connects to MonkeyLearn through Vinkius, your AI agent gets direct access to every tool listed below — spanning text-classification, entity-extraction, sentiment-analysis, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Classify text on MonkeyLearn
Classify text data
Extract text entities on MonkeyLearn
Extract entities
Get api status on MonkeyLearn
Get account status
Get classifier details on MonkeyLearn
Get classifier info
Get extractor details on MonkeyLearn
Get extractor info
List classifier tags on MonkeyLearn
List model tags
List classifiers on MonkeyLearn
List text classifiers
List extractor tags on MonkeyLearn
List extractor tags
List extractors on MonkeyLearn
List text extractors
List model versions on MonkeyLearn
List model versions
List nlp workflows on MonkeyLearn
List account workflows
Run workflow on MonkeyLearn
Run NLP workflow
Connect MonkeyLearn to Vercel AI SDK via MCP
Follow these steps to wire MonkeyLearn into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the MonkeyLearn MCP Server
Vercel AI SDK provides unique advantages when paired with MonkeyLearn 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 MonkeyLearn integration everywhere
Built-in streaming UI primitives let you display MonkeyLearn 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
MonkeyLearn + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the MonkeyLearn MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query MonkeyLearn in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate MonkeyLearn tools and return structured JSON responses to any frontend
Chatbots with tool use: embed MonkeyLearn capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with MonkeyLearn through natural language queries
Example Prompts for MonkeyLearn in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with MonkeyLearn immediately.
"Classify this customer review: 'The product is amazing but delivery was slow.'"
"Extract entities from: 'John Smith from Apple Inc. visited our NYC office on March 15.'"
"List all my classifiers and extractors."
Troubleshooting MonkeyLearn MCP Server with Vercel AI SDK
Common issues when connecting MonkeyLearn to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMonkeyLearn + Vercel AI SDK FAQ
Common questions about integrating MonkeyLearn 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.Explore More MCP Servers
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