RunPod MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect RunPod 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: {
"runpod": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "RunPod Agent",
instructions:
"You help users interact with RunPod " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with RunPod?"
);
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 RunPod MCP Server
Connect your AI directly to RunPod, the leading cloud infrastructure provider for on-demand GPU computing and serverless execution. Empower your conversational agent to act as a highly proficient DevOp engineer, managing advanced computational workloads, exploring deployment options, and spinning up new hardware instances.
Mastra's agent abstraction provides a clean separation between LLM logic and RunPod tool infrastructure. Connect 7 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
- Manage Pods On-Demand — Effortlessly identify running and paused GPU machines across your cloud account (
list_pods,get_pod). Halt specific billable instances to control costs securely (stop_pod). - Provision GPU Workloads — Find verified templates or specific GPU architectures ready for deployment (
list_templates,list_gpu_types), and create entirely new hardware nodes immediately directly from chat (create_pod). - Audit Serverless Environments — Review all registered endpoints routing your containerized inference applications (
list_endpoints).
The RunPod MCP Server exposes 7 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 RunPod to Mastra AI via MCP
Follow these steps to integrate the RunPod 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 7 tools from RunPod via MCP
Why Use Mastra AI with the RunPod MCP Server
Mastra AI provides unique advantages when paired with RunPod through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add RunPod 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 RunPod 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
RunPod + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the RunPod MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query RunPod, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed RunPod as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query RunPod on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using RunPod tools alongside other MCP servers
RunPod MCP Tools for Mastra AI (7)
These 7 tools become available when you connect RunPod to Mastra AI via MCP:
create_pod
Specify name, GPU type, and Docker image. Creates a new GPU pod
get_pod
Retrieves details for a specific GPU pod
list_endpoints
Lists all serverless endpoints
list_gpu_types
Lists available GPU hardware types
list_pods
Lists all GPU pods in the account
list_templates
Lists saved pod templates
stop_pod
Stops a running GPU pod
Example Prompts for RunPod in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with RunPod immediately.
"Show me our stopped GPU pods."
"Check what GPU templates are available to deploy a new Llama-3 inference instance."
"Pause pod with ID 'pod_xyz_980' immediately to prevent recurring costs throughout the evening."
Troubleshooting RunPod MCP Server with Mastra AI
Common issues when connecting RunPod to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpRunPod + Mastra AI FAQ
Common questions about integrating RunPod 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 RunPod 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 RunPod to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.