trigger_pipeline

Trigger a Nexus Alpha build pipeline for a list of repositories.

Server VibeServe ncsound919/vibeserve
Category Execute
Risk class High
Parameters 00 required

What trigger_pipeline does on VibeServe

AI agents invoke trigger_pipeline to trigger actions in VibeServe. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

Why trigger_pipeline needs a policy

This tool executes a build pipeline, which runs code/processes on specified repositories. Build pipelines typically involve compilation, testing, and deployment—operations whose outcomes depend on the arguments (repository list) provided. This is clearly Execute rather than Write (build systems generate side effects beyond simple data modification) or Read (it actively triggers operations).

From the tool's definition Tool description states 'Trigger a Nexus Alpha build pipeline' — the word 'trigger' combined with 'build pipeline' indicates execution of external operations (compilation, testing, deployment) whose effects depend on which repositories are targeted.

Questions about trigger_pipeline

What does the trigger_pipeline tool do? +

Trigger a Nexus Alpha build pipeline for a list of repositories. It is categorised as a Execute tool in the VibeServe MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on trigger_pipeline? +

Register the VibeServe MCP server in PolicyLayer and add a rule for trigger_pipeline: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches VibeServe. Nothing to install.

What risk level is trigger_pipeline? +

trigger_pipeline is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit trigger_pipeline? +

Yes. Add a rate_limit block to the trigger_pipeline rule in your PolicyLayer 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.

How do I block trigger_pipeline completely? +

Set action: deny in the PolicyLayer policy for trigger_pipeline. 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.

What MCP server provides trigger_pipeline? +

trigger_pipeline is provided by the VibeServe MCP server (ncsound919/vibeserve). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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