Investigate a Deployment
Read deployment details and filtered runtime logs.
/oo Railway: Read Railway deployment [deployment ID], get logs filtered by [filter] between [start] and [end], and summarize observed errors.
Inspect projects and service instances, read deployment logs, and trigger a specified service deployment. Ask your connected AI assistant to explain the results or carry out the specified operation.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Read deployment details and filtered runtime logs.
/oo Railway: Read Railway deployment [deployment ID], get logs filtered by [filter] between [start] and [end], and summarize observed errors.
Trigger deployment for a selected service and environment.
/oo Railway: Deploy Railway service [service ID] in environment [environment ID] at commit [commit SHA], then read the returned deployment.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect with a Railway account or workspace token; workspace tokens require workspace ID.
Connect Railway →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Railway connects supported service operations to your AI assistant. Inspect projects and service instances, read deployment logs, and trigger a specified service deployment.
Read projects, service configuration, and deployments.
Read runtime logs, deploy services, or update environment variables.
List Railway projects available to the configured account or workspace token.
railway.list_projects Get a Railway project together with its services and environments.
railway.get_project Get Railway service configuration and its latest deployment in one environment.
railway.get_service_instance List recent Railway deployments for a service and environment.
railway.list_deployments Get one Railway deployment and its redeploy and rollback capabilities.
railway.get_deployment Read runtime logs for a Railway deployment with optional text and time filters.
railway.get_deployment_logs Trigger a Railway deployment for a service, optionally at a specific connected-repository commit.
railway.deploy_service Create or update one Railway variable for an environment or service.
railway.upsert_variable Roll a Railway service back to a deployment that Railway marks as rollback-capable.
railway.rollback_deployment No matching tools.
Account and workspace tokens are supported; project tokens use different authentication and are not accepted.
Yes. Supply the workspace ID with a workspace-scoped token.
Yes. Use filter, startDate, endDate, and limit for a selected deployment.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.