Metorial MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Metorial through the 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: {
"metorial": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Metorial Agent",
instructions:
"You help users interact with Metorial " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Metorial?"
);
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 Metorial MCP Server
What you can do
Bridge pure observability limits natively managing serverless AI tools via the strict Metorial infrastructure platform:
Mastra's agent abstraction provides a clean separation between LLM logic and Metorial tool infrastructure. Connect 8 tools through the 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.
- Deploy Serverless Proxies provisioning active matrix instances mapping node parameters explicitly into zero-scale paths
- Monitor Traces Natively extracting end-to-end telemetry schemas tracking step-by-step logic
- Discover Active Deployments explicitly grouping remote servers tracking health status boundaries
- Invoke Remote Capabilities explicitly running tool schemas hosted safely isolated inside Metorial bounds
- Analyze Token Usage metrics computing organizational latency tracking and payload limits safely
- Decommission Endpoints safely extracting footprints terminating idle servers without logic panics
The Metorial MCP Server exposes 8 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 Metorial to Mastra AI via MCP
Follow these steps to integrate the Metorial 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 8 tools from Metorial via MCP
Why Use Mastra AI with the Metorial MCP Server
Mastra AI provides unique advantages when paired with Metorial through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Metorial 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 Metorial 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
Metorial + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Metorial MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Metorial, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Metorial as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Metorial on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Metorial tools alongside other MCP servers
Metorial MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Metorial to Mastra AI via MCP:
metorial_delete_server
Dismantle logical server parameters mapping natively
metorial_deploy_server
Trigger structural remote serverless provisioning of an MCP Logic matrix seamlessly
metorial_get_server_status
Check explicit logical health matrices protecting a hosted node
metorial_get_trace_details
Deep dive linearly into an explicit execution interaction boundary
metorial_get_usage_metrics
Aggregate explicitly cost matrix boundaries and latency tracking natively
metorial_invoke_server_tool
Command interaction executions explicitly routed to the serverless container node
metorial_list_servers
Enumerate the entire array of Serverless MCP bounds hosted inside your Metorial workspace
metorial_list_traces
Poll explicit transaction log boundaries tracing MCP tool limits
Example Prompts for Metorial in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Metorial immediately.
"List all explicitly active MCP server deployments spanning natively onto the Metorial Serverless cloud."
"Trace granular execution logic of my last proxy run extracting explicit metrics via Metorial telemetry limits."
"Spawn naturally a fresh container instance deploying logic to Metorial binding explicit organizational params."
Troubleshooting Metorial MCP Server with Mastra AI
Common issues when connecting Metorial to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpMetorial + Mastra AI FAQ
Common questions about integrating Metorial 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 Metorial 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 Metorial to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.