[API] Create a new service from a GitHub repository ⚡️ Best for: ✓ Deploying applications from source code ✓ Services that need build processes ✓ GitHub-hosted projects ⚠️ Not for: × Pre-built Docker images (use service_create_from_image) × Database deployments (use database_deploy) ...
Part of the Railway MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use service_create_from_repo to create or modify resources in Railway MCP Server. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call service_create_from_repo repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Railway MCP Server.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
service_create_from_repo:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Railway MCP Server policy for all 38 tools.
Agents calling write-class tools like service_create_from_repo have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
[API] Create a new service from a GitHub repository ⚡️ Best for: ✓ Deploying applications from source code ✓ Services that need build processes ✓ GitHub-hosted projects ⚠️ Not for: × Pre-built Docker images (use service_create_from_image) × Database deployments (use database_deploy) × Static file hosting → Prerequisites: project_list → Alternatives: service_create_from_image, database_deploy → Next steps: variable_set, service_update → Related: deployment_trigger, service_info. It is categorised as a Write tool in the Railway MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Add a rule in your Intercept YAML policy under the tools section for service_create_from_repo. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Railway MCP Server MCP server.
service_create_from_repo is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the service_create_from_repo rule in your Intercept policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the Intercept policy for service_create_from_repo. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
service_create_from_repo is provided by the Railway MCP Server MCP server (jason-tan-swe/railway-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept