# RunPod

```json
{
  "name": "RunPod",
  "slug": "runpod",
  "url": "https://composio.dev/toolkits/runpod",
  "markdown_url": "https://composio.dev/toolkits/runpod.md",
  "logo_url": "https://logos.composio.dev/api/runpod",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-03-29T06:48:32.592Z"
}
```

![RunPod logo](https://logos.composio.dev/api/runpod)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with RunPod MCP or direct API to launch pods, monitor GPU usage, manage jobs, and query pod status through natural language.

## Summary

RunPod is a GPU cloud platform designed for AI and machine learning workloads. Instantly access scalable compute power for demanding AI tasks.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 13

## Images

- Logo: https://logos.composio.dev/api/runpod

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for RunPod.
  - Setup:
    - Configure Api Key credentials for RunPod.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Launch a new GPU pod for inference
- Get status of all active pods
- Stop a running pod with ID 12345

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `RUNPOD_CREATE_CLUSTER` | Create RunPod Cluster | Tool to create a new GPU cluster for multi-node distributed computing workloads on RunPod. Use when you need to deploy multiple pods with shared configuration for parallel processing, ML training, or HPC workloads. |
| `RUNPOD_CREATE_SECRET` | Create Secret | Tool to create a new secure secret in RunPod for credential management. Use when you need to store sensitive values like API keys, passwords, or tokens that will be accessible in pods and endpoints via environment variables (RUNPOD_SECRET_). |
| `RUNPOD_DELETE_REGISTRY_AUTH` | Delete Container Registry Authentication | Tool to delete container registry authentication from RunPod. Use when you need to remove stored registry credentials. |
| `RUNPOD_DELETE_TEMPLATE` | Delete Template | Tool to remove a RunPod template via GraphQL mutation. Use when you need to delete a template that is no longer needed. The template must not be in use by any pods or assigned to any serverless endpoints, otherwise the operation will fail. |
| `RUNPOD_GET_GPU_TYPES` | Get GPU Types | Tool to retrieve available GPU types and their specifications, pricing, and availability from RunPod. Use when you need to find GPU options for deployment. |
| `RUNPOD_GET_AUTHENTICATED_USER_INFO` | Get authenticated user info | Retrieve basic information about the authenticated user including ID, email, and security settings. Use this to get the current user's ID, email address, terms of service status, and MFA settings. Note: Access to financial fields (balance, spending, etc.) requires elevated API key permissions. |
| `RUNPOD_GET_POD_DETAILS` | Get Pod Details | Retrieve details of a specific RunPod pod by its unique pod ID. Returns pod configuration including GPU count, memory, cost, and status. Use when you need to check the current state or configuration of an existing pod. |
| `RUNPOD_LIST_CPU_TYPES` | List CPU Types | Tool to retrieve available CPU types and their specifications from RunPod. Use when you need to view CPU options for provisioning pods or selecting hardware configurations. |
| `RUNPOD_SAVE_SERVERLESS_ENDPOINT` | Save Serverless Endpoint | Tool to create or update a RunPod serverless endpoint with GPU configuration and scaling settings. Use when configuring new GPU-accelerated serverless endpoints or modifying existing endpoint parameters. Include 'id' parameter to update an existing endpoint, omit it to create a new one. |
| `RUNPOD_SAVE_CONTAINER_REGISTRY_AUTHENTICATION` | Save Container Registry Authentication | Tool to save container registry authentication credentials for accessing private Docker images in RunPod. Use when you need to store credentials for a private container registry. |
| `RUNPOD_SAVE_TEMPLATE` | Save Template | Tool to create a new RunPod template or update an existing one with container configuration. Use when you need to define reusable pod/serverless configurations with specific images, environment variables, and resource allocations. For serverless templates, always set volumeInGb to 0. |
| `RUNPOD_UPDATE_REGISTRY_AUTH` | Update Registry Auth | Tool to update existing container registry authentication credentials in RunPod. Use when you need to modify the username or password for an existing registry authentication. |
| `RUNPOD_UPDATE_USER_SETTINGS` | Update User Settings | Tool to update current user settings (e.g., SSH public key) in RunPod. Use when you need to configure SSH access to pods by setting the user's SSH public key. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute RunPod Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute RunPod actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Launch a new GPU pod for stable diffusion training'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'Launch a new GPU pod for stable diffusion training'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for RunPod
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to RunPod tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Get status of all running GPU pods')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'Get status of all running GPU pods'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native RunPod Integration

- Supports both RunPod MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your RunPod data

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke RunPod access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access RunPod
- Scoped, least privilege access to RunPod resources
- Full audit trail of agent actions to support review and compliance

## Use RunPod with any AI Agent Framework

Choose a framework you want to connect RunPod with:

- [ChatGPT](https://composio.dev/toolkits/runpod/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/runpod/framework/antigravity)
- [OpenAI Agents SDK](https://composio.dev/toolkits/runpod/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/runpod/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/runpod/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/runpod/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/runpod/framework/codex)
- [Cursor](https://composio.dev/toolkits/runpod/framework/cursor)
- [VS Code](https://composio.dev/toolkits/runpod/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/runpod/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/runpod/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/runpod/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/runpod/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/runpod/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/runpod/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/runpod/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/runpod/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/runpod/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/runpod/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/runpod/framework/autogen)

## Related Toolkits

- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
- [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service.
- [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.
- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
- [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows.
- [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application.
- [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities.
- [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization.
- [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications.
- [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations.
- [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key.
- [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient.
- [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions.
- [Botpress](https://composio.dev/toolkits/botpress) - Botpress is an open-source platform for building, deploying, and managing chatbots. It helps teams automate conversations and deliver rich, interactive messaging experiences.
- [Chatbotkit](https://composio.dev/toolkits/chatbotkit) - Chatbotkit is a platform for building and managing AI-powered chatbots using robust APIs and SDKs. It lets you easily add conversational AI to your apps for better user engagement.
- [Cody](https://composio.dev/toolkits/cody) - Cody is an AI assistant built for businesses, trained on your company's knowledge and data. It delivers instant answers and insights, tailored for your team.
- [Context7 MCP](https://composio.dev/toolkits/context7_mcp) - Context7 MCP delivers live, version-specific code docs and examples right from the source. It helps developers and AI agents instantly retrieve authoritative programming info—no more out-of-date docs.
- [Customgpt](https://composio.dev/toolkits/customgpt) - CustomGPT.ai lets you build and deploy chatbots tailored to your own data and business needs. Get precise and context-aware AI conversations without writing code.
- [Datarobot](https://composio.dev/toolkits/datarobot) - Datarobot is a machine learning platform that automates model development, deployment, and monitoring. It empowers organizations to quickly gain predictive insights from large datasets.
- [Deepgram](https://composio.dev/toolkits/deepgram) - Deepgram is an AI-powered speech recognition platform for accurate audio transcription and understanding. It enables fast, scalable speech-to-text with advanced audio intelligence features.

## Frequently Asked Questions

### Do I need my own developer credentials to use RunPod with Composio?

Yes, RunPod requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)