MonkeyLearn MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Classify Text, Extract Text Entities, Get Api Status, and more
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect MonkeyLearn through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The MonkeyLearn MCP Server for Mastra AI 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
Geminiimport { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"monkeylearn-alternative": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "MonkeyLearn Agent",
instructions:
"You help users interact with MonkeyLearn " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with MonkeyLearn?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and MonkeyLearn tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI
When Mastra AI 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 Mastra AI via MCP
Follow these steps to wire MonkeyLearn into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the MonkeyLearn MCP Server
Mastra AI provides unique advantages when paired with MonkeyLearn through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add MonkeyLearn without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every MonkeyLearn tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
MonkeyLearn + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the MonkeyLearn MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query MonkeyLearn, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed MonkeyLearn as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query MonkeyLearn on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using MonkeyLearn tools alongside other MCP servers
Example Prompts for MonkeyLearn in Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting MonkeyLearn to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpMonkeyLearn + Mastra AI FAQ
Common questions about integrating MonkeyLearn MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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