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Deploy, manage, and monitor OpenWebUI on Railway using natural language commands.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Railway OpenWebUI MCP Server" yet — see the docs or source repo.
Deploy a new OpenWebUI instance on Railway with default settings, then return the access URL and deployment status.
Returns the deployment result, access link, and key configuration details for the new instance.
Check the current OpenWebUI instance on Railway for health status, recent logs, and resource usage, and highlight any issues.
Outputs the instance health status, log summary, resource metrics, and any detected issues.
Update the environment variables for this OpenWebUI instance, restart the service, and confirm the changes are active.
Returns the configuration update result, restart status, and confirmation that the changes took effect.
Manage Railway projects in natural language with approval guardrails for risky actions.
Expose OpenAPI endpoints as MCP tools for LLM-driven REST API access.
Convert any OpenAPI spec into an MCP server with endpoint tools.
Generate MCP tools from OpenAPI specs for natural-language API interaction.
Build, debug, and manage software tasks with natural language across LLMs.
Connect AI coding assistants to OpenRouter for queries, file analysis, and batch tasks.