Metatext MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Metatext 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
Vinkius supports streamable HTTP and SSE.
import { 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: {
"metatext": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Metatext Agent",
instructions:
"You help users interact with Metatext " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Metatext?"
);
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 Metatext MCP Server
Connect your Metatext account to any AI agent and take full control of your NLP models and data pipelines through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Metatext tool infrastructure. Connect 10 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
- Model Orchestration — List all trained NLP models and fetch detailed metadata and training statuses
- Real-time Inference — Programmatically run predictions, classifications, and extractions using your deployed models
- Dataset Management — Enumerate datasets and create new records for model training or evaluation
- Deployment Monitoring — List active model deployments and retrieve account usage information
- Search & Discovery — Search for specific NLP models by name to quickly access their capabilities
The Metatext MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Metatext to Mastra AI via MCP
Follow these steps to integrate the Metatext MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Metatext via MCP
Why Use Mastra AI with the Metatext MCP Server
Mastra AI provides unique advantages when paired with Metatext through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Metatext 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 Metatext 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
Metatext + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Metatext MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Metatext, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Metatext as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Metatext on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Metatext tools alongside other MCP servers
Metatext MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Metatext to Mastra AI via MCP:
create_dataset_record
Create a new record in a dataset
get_account_info
Get account information
get_dataset_details
Get details for a specific dataset
get_model_details
Get details for a specific model
list_dataset_records
List records in a dataset
list_model_deployments
List active model deployments
list_nlp_datasets
List all datasets
list_nlp_models
List all trained NLP models
run_model_inference
Run prediction on a model
search_nlp_models
Search models by name
Example Prompts for Metatext in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Metatext immediately.
"List all my trained NLP models in Metatext."
"Analyze this text with model ID 'mod_123': 'I love this product!'"
"Add a new record to dataset 'ds_987' with text 'Refund requested' and label 'Support'."
Troubleshooting Metatext MCP Server with Mastra AI
Common issues when connecting Metatext to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpMetatext + Mastra AI FAQ
Common questions about integrating Metatext 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?
Connect Metatext with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Metatext to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.