How to Use the Metatext MCP in Mastra AI

Build resilient NLP workflows in Mastra AI with built-in retries and conditional execution.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Metatext MCP to Mastra AI

Create your Vinkius account to connect Metatext to Mastra AI 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 Metatext with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated Model Deployment

List and verify active environments with `list_model_deployments` before triggering your agents. It ensures your workflow only runs on live infrastructure. Failure handling is built-in. If a deployment is down, your agent skips to the next step based on your defined logic.

Structured Data Handling

Use `get_dataset_details` to feed specific parameters into your agent's decision-making process. It prevents your agents from operating on stale or incorrect data. You can chain these calls. Once you have the details, you trigger the next step in your workflow without manual intervention.

Inference Execution

Run `run_model_inference` as part of a multi-step workflow. You define the exact sequence of events for your NLP tasks. If the inference step hits a snag, the agent handles the retry logic automatically. You get predictable outcomes for every agent process.

Setup guide

Set up Metatext MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Metatext tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "metatext-mcp-client",
  servers: {
    "metatext-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Metatext Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Metatext tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Metatext transactions"
);
console.log(result.text);

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 Metatext. 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 Metatext 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 Metatext MCP in Mastra AI

You define retry policies in your agent configuration. If a tool call fails, the framework attempts the operation again based on your settings.

Yes. Map the output of your tools to your agent's logic branches. This lets you change behavior based on the model response.

It does. You can enable human-in-the-loop validation for any tool call. This forces the agent to stop and wait for your input.

The server interacts with your live data. Any record you create via `create_dataset_record` persists in your account immediately.

The framework captures the tool execution history. You can inspect these logs to see exactly what input was sent to the model.

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

Mastra AI sdk-typescript

Start using the Metatext MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started