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template_deploy

Deploy new services quickly using pre-configured templates on the railway-mcp server. Ideal for starting services without custom configurations. Requires projectId, templateId, and environmentId.

Instructions

[WORKFLOW] Deploy a new service from a template

⚡️ Best for: ✓ Starting new services from templates ✓ Quick service deployment ✓ Using pre-configured templates

⚠️ Not for: × Custom service configurations × GitHub repository deployments (use service_create_from_repo)

→ Prerequisites: template_list

→ Alternatives: service_create_from_repo, service_create_from_image, database_deploy

→ Next steps: service_info, variable_list

→ Related: service_update, deployment_trigger

Input Schema

NameRequiredDescriptionDefault
environmentIdYesID of the environment to deploy to
projectIdYesID of the project to create the service in
teamIdNoID of the team to create the service in (if not provided, will use the default team)
templateIdYesID of the template to use

Input Schema (JSON Schema)

{ "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "environmentId": { "description": "ID of the environment to deploy to", "type": "string" }, "projectId": { "description": "ID of the project to create the service in", "type": "string" }, "teamId": { "description": "ID of the team to create the service in (if not provided, will use the default team)", "type": "string" }, "templateId": { "description": "ID of the template to use", "type": "string" } }, "required": [ "projectId", "templateId", "environmentId" ], "type": "object" }

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/jason-tan-swe/railway-mcp'

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