# Railway MCP for AI Agents AI Agent Connect > Railway MCP lets your AI agent manage your cloud infrastructure directly. You can create projects, trigger deployments, and manage environment variables without leaving your terminal. It turns your AI into a cloud operations assistant that handles the heavy lifting of Railway management. ## Overview - **Category:** loved-by-devs - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_a8eCEa2i1OeIeZf94td6ehqGhkyTpyYgWR4bHQG6/ai-agent-connect - **Tags:** deployment, cloud-hosting, environment-variables, infrastructure-as-code, serverless, automation ## Description You're tired of jumping between your code editor and the Railway dashboard just to check if a deployment succeeded or to flip a switch on a service. This Connector changes that. It gives your AI agent the keys to your Railway account, letting it handle the grunt work of cloud management. Instead of manually updating environment variables or hunting for rollout logs, you can just tell your agent to do it. It's like having a DevOps engineer sitting right next to you who knows exactly how your infrastructure is laid out. You can use Vinkius to get this set up quickly, then start asking your agent to handle the boring stuff while you focus on shipping features. Whether you're trying to scale a service or just want to see what's running in production, it all happens right where you're already working. ## Tools ### get_project Get the details for a specific Railway project. Use this to pull metadata about your infrastructure. ### get_service_instances See the runtime configuration for a specific service. This helps you understand how your app is currently running. ### list_deployments See all deployments for a project, environment, and service. Use this to track the history of your releases. ### list_projects Get a list of all projects your token has access to. It's the quickest way to see your entire infrastructure. ### list_variables See the environment variables for a specific service. This is perfect for checking your secrets and config keys. ### restart_service Restart a running service instance immediately. Use this when a container becomes unresponsive. ### trigger_deploy Start a new deployment for a specific service. This lets you push updates without leaving your editor. ### whoami See the profile of the authenticated Railway user. It's a quick way to verify your connection status. ### create_project Create a brand new Railway project. This speeds up your workflow when spinning up new environments. ### delete_project Permanently delete a Railway project. This action is irreversible, so use it with caution. ## Prompt Examples **Prompt:** ``` List all active projects on my Railway account. ``` **Response:** ``` I've checked your Railway account. Here are your active projects: | Project Name | ID | | :--- | :--- | | **ECommerce Backend** | `prj_xyz123` | | **Auth Service** | `prj_abc789` | All projects are currently active and accessible. ``` **Prompt:** ``` Restart the deployment for the ECommerce Backend service. ``` **Response:** ``` I've sent the restart command for the **ECommerce Backend** service. * **Status:** Restarting... * **Action:** Cycling containers You can check the logs in a few moments to ensure the service comes back online successfully. ``` **Prompt:** ``` Has the latest Production build finished yet? ``` **Response:** ``` I checked the latest deployment for your production service. **Status:** ✅ SUCCESS **Completed:** 4 minutes ago **Service:** `sv_222` Everything looks good and the build is live. ``` ## Capabilities ### Create new projects Spin up a new Railway project instantly through your chat interface. ### Trigger new deployments Push your latest code to your production or staging environments with a command. ### Restart running services Cycle a service instance to clear up memory issues or stuck processes. ### List environment variables See all your configuration keys and values for a specific service. ### View deployment statuses Check whether your latest build succeeded or failed without opening a browser. ### Query project details Get specific information about your existing Railway projects. ## Use Cases ### Fixing a failed deployment A build fails in production. You ask your agent to use list_deployments to see the error and then use restart_service to try again. ### Setting up a new environment You need a new staging area. You tell your agent to use create_project and list_variables to get the infrastructure ready. ### Checking production health You want to make sure your app is running. You ask the agent to use get_service_instances to see if the containers are active. ### Scaling a service You need to check your current limits. You use get_project to see your setup and list_deployments to monitor the rollout. ## Benefits - Stop context switching by using list_projects to see your infra without leaving your editor. - Speed up releases by using trigger_deploy to push code to production instantly. - Fix unhealthy containers faster by using restart_service to cycle instances. - Keep secrets organized by using list_variables to check configuration keys. - Get instant status updates with list_deployments to see if your build succeeded. - Simplify onboarding by using create_project to spin up new environments. ## How It Works The bottom line is you get direct cloud infrastructure control inside your AI chat. 1. Connect the Railway MCP to your client via Vinkius. 2. Provide your Railway API Token in the configuration. 3. Ask your agent to manage projects or deployments. ## Frequently Asked Questions **Can I use Railway MCP to manage my production environment?** Yes. You can manage your production environment by asking your agent to trigger deployments, restart services, or check your environment variables. **How does Railway MCP help with deployment logs?** It lets your agent see the status of your deployments. You can ask it to check if a build finished or what the current status of a rollout is. **Can I update environment variables with Railway MCP?** Yes. Your agent can pull and manage your environment variables, making it easier to sync configuration keys across your different services. **Does Railway MCP support project deletion?** Yes, it can delete projects, but because this is an irreversible action, you should always double-check the project ID before asking your agent to do it. **How do I use Railway MCP to restart a stuck service?** Just ask your agent to restart the specific service. It will trigger the restart command immediately without you needing to log into the Railway dashboard. **Can Railway MCP show me my current projects?** Yes. Your agent can list all projects associated with your Railway account so you can see your entire infrastructure in one place. **How do I create a Railway API token?** Log into your main Railway dashboard. Navigate to your Account Settings and head to the 'Tokens' section. Generate a standard Personal Access API Token, copy it definitively, and paste it into the secure configuration field provided by the Connector integration here. **Can I target specific environments (like Staging vs Production)?** Yes. Each API operation supports passing explicit `project_id` and `environment_id` variables, ensuring the AI performs operations strictly inside your requested boundaries. **Is restarting a service destructive?** It behaves identically to clicking 'Restart' on the Railway dashboard. It forces an immediate container recycle for the specific service based on the last successful build.