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.
The Cloud Built for AI - GPU cloud computing platform for AI and machine learning workloads
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.
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_<name>).
Tool to delete container registry authentication from RunPod. Use when you need to remove stored registry credentials.
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.
Retrieve basic information about the authenticated Runpod user, including ID, email, terms of service status, and MFA settings.
Tool to retrieve available GPU types and their specifications, pricing, and availability from RunPod. Use when you need to find GPU options for deployment.
Retrieve a Runpod pod by ID, including its configuration, GPU count, memory, hourly cost, and desired status.
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.
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.
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.
Create or update a Runpod template with container configuration for pods or serverless endpoints; set the volume size to 0 for serverless templates. Updates also send Docker arguments and environment variables, defaulting to an empty string and empty list when omitted.
Update an existing Runpod container registry authentication credential by supplying its ID, username, and password.
Update the authenticated Runpod user's SSH public key for pod access.
The RunPod integration connects your Dench AI CRM directly to RunPod, so agents can read and act on your RunPod data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.
13 actions are available for agents to invoke on your behalf. Every call runs through RunPod's own authorization, scoped to the account you connect.
Sign in to your Dench workspace and open Integrations.
Find RunPod and click Connect — you'll authorize access through RunPod's own sign-in flow. No API keys or code required.
Ask an agent to use RunPod in chat, or call it from an automation.
Manage or disconnect the connection any time from workspace settings.
The Dench RunPod integration connects your AI CRM to RunPod, so AI agents can work with your RunPod data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.
The RunPod integration currently exposes 13 actions, including Create RunPod Cluster, Create Secret, Delete Container Registry Authentication, Delete Template, Get authenticated user info, and Get GPU Types. Agents invoke them on your behalf from chat or from automations.
No. You connect RunPod from your Dench workspace using RunPod's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.
Connections are authorized through RunPod's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the RunPod connection from your workspace settings at any time.