Use RunPod from Claude
Add the RunPod connection to a Space that runs Claude, then use it from every channel in that Space.
Connect RunPod once, then control which Spaces can use its approved tools and data without pasting credentials into prompts or threads.
Add the RunPod connection to a Space that runs Claude, then use it from every channel in that Space.
Add the RunPod connection to a Space that runs Codex, then use it from every channel in that Space.
Connect your own OpenClaw to Sidekick while type.com provides the conversations, permissions, connections, skills, and automations.
RunPod provides on-demand GPU infrastructure for training and running AI workloads. With a RunPod connection in type.com, the agent can launch a multi-node cluster for a distributed job, store an API key or token as a secret for use inside pods, or check which GPU types are currently available, so infrastructure decisions happen alongside the rest of a project's planning in one thread.
Connect RunPod once, then decide which Spaces can use it in threads, skills, automations, and coding work.
Ask the agent to create a multi-node GPU cluster when a job needs more than a single pod's capacity.
Create a RunPod cluster with 4 nodes for this weekend's model training run.
Have the agent create a secret so API keys are available inside pods as environment variables instead of hardcoded.
Create a RunPod secret for our Hugging Face token so our pods can pull gated models.
Get the agent to pull current GPU types, pricing, and availability before committing to a deployment plan.
Check available RunPod GPU types and pricing before we decide which instance to use for inference.
Deploys a multi-node GPU cluster for distributed training or parallel workloads.
Stores a credential securely for access inside pods and endpoints as an environment variable.
Removes stored container registry credentials from the account.
Removes a template that is not currently in use by any pod or endpoint.
Returns available GPU types along with specifications, pricing, and availability.
RunPod provides GPU cloud infrastructure and serverless APIs for AI workloads. Integrations can manage pods, serverless endpoints, jobs, templates, networks, storage, GPU resources, usage, and AI inference pipelines using API keys and GraphQL/REST-style APIs.
Yes. With a RunPod connection shared to a Space, the agent can create clusters, store secrets, and check GPU availability in any thread, visible to the whole team.
RunPod uses an API key. An admin adds it once when creating the connection and chooses which Spaces can use it, so it is never typed into a prompt.
Yes. A RunPod prompt can become a type.com automation, such as a daily check of GPU pricing before a batch job, posted to a channel.
Not exactly. type.com uses connectors and connections to give selected Spaces access to approved app tools and data. Some connectors use hosted MCP, while others use OAuth, API keys, service accounts, or custom APIs.
Connect Printautopilot to Claude in type.com to queue PDF documents for printing and check available print queues from a thread.
Connect Prisma to Claude in type.com to spin up projects, provision databases, and manage connections from a shared thread.
Connect Prismic to Claude in type.com to search documents, query content, and review custom types from a thread.
Connect Procfu to Claude in type.com to compare data arrays and move files out of Podio as part of a larger automation.