Integrations·AI & ML

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RunPod + OpenClaw

Give your autonomous agents a live connection to RunPod: managed, secure, and ready in minutes.

RunPod is a GPU cloud platform designed for AI and machine learning workloads. On Molted, your OpenClaw agents connect to RunPod through the managed MCP integration layer, with no glue code, no servers to run, and no credentials baked into containers. The agent can call models, run inference, and chain AI capabilities for RunPod, autonomously and within the guardrails you set.

Available actions

13 ready-to-use RunPod actions.

Your OpenClaw agents can call any of these RunPod actions directly through Molted's managed MCP layer. No wrappers, no boilerplate.

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…

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…

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…

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_MYSELF

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…

RUNPOD_GET_POD

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…

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…

RUNPOD_SAVE_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…

RUNPOD_SAVE_REGISTRY_AUTH

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…

+ 3 more RunPod actions, all callable by your agents.

How the connection works

Connect once. The agent acts.

RunPod connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod. Everything runs through Molted's managed MCP layer, so there is no integration code to write and nothing to keep running.

01

The agent requests access

Your OpenClaw agent asks for RunPod when a task needs it.

02

You approve the connection

Authorize RunPod once (API key). Credentials are encrypted at rest and scoped to what you allow.

03

The agent acts

It reads and writes to RunPod autonomously, inside your guardrails, with full audit and revocable access.

Auth: API keyCategory: AI & MLNo credentials in the pod

FAQ

RunPod on Molted, answered.

Q.01

Can OpenClaw agents use RunPod on Molted?

Yes. RunPod is one of 1,000+ apps available through Molted's managed MCP integration layer. Your agent requests access, you approve the connection, and it can act on RunPod straight away, with no integration code to write or maintain.

Q.02

How do I connect RunPod to my agent?

RunPod connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod.

Q.03

What can an agent actually do with RunPod?

Within the permissions you grant, an agent can call models, run inference, and chain AI capabilities. RunPod lets your agent chain multiple AI capabilities into a single autonomous pipeline.

Q.04

Is my RunPod data and credentials secure?

Yes. Molted never bakes credentials into the agent's pod: every connection is brokered through the managed integration layer, secrets are encrypted at rest, and access stays scoped to what you approve. You can revoke RunPod access at any time.

Q.05

Do I have to run any infrastructure to use RunPod?

No. Molted is the managed operating environment for autonomous agents: compute, the MCP layer, browser automation and self-healing are all handled for you. Connecting RunPod is a configuration step, not an engineering project.

Q.06

Can I limit what an agent is allowed to do in RunPod?

Yes. Access to RunPod is scoped to exactly what you approve and is revocable at any time. Agents act within the guardrails you set, and every action stays auditable.

Ship agents that use RunPod, not infrastructure.

Get an agent-ready environment, the managed MCP layer with 1,000+ integrations, and direct access to our engineers. Onboarding within days.