$ loading_
Manage Railway projects, deployments, variables, and domains directly in AI chat.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "railway-mcp" yet — see the docs or source repo.
List all services in my Railway project and summarize each service’s latest deployment status, time, and whether there were any failed deployments.
A list of services with each latest deployment status, deployment time, and failure summary.
Update the API_BASE_URL, REDIS_URL, and LOG_LEVEL Railway environment variables in production with the new values I provide, then confirm the changes.
The specified environment variables are updated, with confirmation of successes, failures, or applied changes.
Add the custom domain app.example.com to my Railway web service and tell me which DNS records I need to configure and the current binding status.
The result of the domain binding, required DNS configuration details, and the current verification or activation status.
Turn CLI tools or REST APIs into MCP servers for Claude.
Deploy an MCP server remotely with OAuth-secured client access on Cloudflare.
Connect TestRail with AI to manage test projects, cases, runs, and results.
Connect databases, files, AWS IAM, and Gmail through one MCP server.
Generate production-ready MCP servers from databases or OpenAPI specs quickly.
Manage router settings and network control through natural language commands.