RunPod for AI agents
RunPod is a GPU cloud platform for running AI and machine learning workloads, letting teams deploy pods, templates, and serverless endpoints. Connect it once through Arc0, and your agent, or Claude, ChatGPT and Cursor, can use it through one MCP endpoint, limited to what each user approved.
What agents do in RunPod.
Check available GPU types
Get GPU types and pricing before choosing hardware for a new training job.
Save a serverless endpoint
Save a serverless endpoint configuration so a model can be called on demand.
Confirm before deleting a template
Get a template's details first, then delete it only after confirming it's not backing an active pod.
13 RunPod actions, graded by risk.
Every RunPod action is tagged read, write or destructive, so one policy covers the whole app and new actions inherit the right default.
read
4Look things up. Allowed by default.
- runpod.get_podGet Pod Details
- runpod.get_myselfGet authenticated user info
- runpod.get_gpu_typesGet GPU Types
- runpod.list_cpu_typesList CPU Types
write
7Create and change things. Allow, or ask the user first.
- runpod.create_secretCreate Secret
- runpod.create_clusterCreate RunPod Cluster
- runpod.update_registry_authUpdate Registry Auth
- runpod.update_user_settingsUpdate User Settings
- runpod.save_endpointSave Serverless Endpoint
- runpod.save_templateSave Template
- runpod.save_registry_authSave Container Registry Authentication
destructive
2Delete, cancel or archive. Ask first, or deny outright.
- runpod.delete_templateDelete Template
- runpod.delete_registry_authDelete Container Registry Authentication
RunPod in three steps.
- 01Your users connect RunPodThey add their RunPod api key on Arc0 Connect, under your brand. It goes straight into the vault.
- 02You set the rulesReads run, writes like “create Secret” can wait for the user, and “delete Template” can be denied outright.
- 03Any agent can actYour agent calls RunPod through the Arc0 SDK or MCP, and so can Claude, ChatGPT and Cursor. Every call lands on the audit log.
await arc0.policies.set('runpod', { read: 'allow', write: 'ask', // create_secret destructive: 'deny', // delete_template }) # Claude Code: the same connection, one URL $ claude mcp add --transport http arc0 \ https://mcp.arc0.ai/u/u_8f2
How RunPod connects.
Users add their RunPod api key on Arc0 Connect. It is encrypted in the vault, never shown to the model, and each user can rotate or revoke it at any time.
The same RunPod connection serves your agent over MCP and your own backend over REST and the proxy, so a user connects once. How Arc0 handles credentials →
- AUTH
- API key
- CREDENTIALS
- Per-tenant encrypted vault
- MODEL SEES
- Results only, never credentials
- AUDIT LOG
- Every call, on every plan
Use RunPod from any agent.
RunPod and Arc0, answered.
Can I use RunPod with Claude, ChatGPT or Cursor?
Yes. Connect RunPod to Arc0 once, then add your Arc0 MCP URL to Claude, ChatGPT, Cursor, Claude Code or any other remote-MCP client. Each assistant only gets the RunPod actions you allow.
How do users connect RunPod?
Users add their RunPod api key on Arc0 Connect. It is encrypted in the vault, never shown to the model, and each user can rotate or revoke it at any time.
Which RunPod actions can my agent take?
13 in total: 4 read, 7 write and 2 destructive, such as “create Secret”. Your policies decide which of them each agent may call.
Can I stop my agent from deleting things in RunPod?
Yes. Actions like “delete Template” are graded destructive. Set destructive actions to deny, or to ask so the user approves each one, and blocked calls still show up on the audit log.
Can my own backend call RunPod too?
Yes. The same RunPod connection is available over REST and through the Arc0 proxy, so your product and your agent share one connection per user.
Plug RunPod into your agent.
Your users connect RunPod once, under your brand. Your agent gets 13 actions behind your policies, with every call on the record.
Free to build · MCP + REST · Audit log on every plan