trigger_build
AI agents invoke trigger_build to trigger actions in Jenkins MCP Tool. 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.
This tool triggers CI/CD build execution, which runs code and external operations whose effects depend on the build configuration and parameters. While not destructive by itself, it can execute arbitrary scripts, deploy software, and affect production systems. Severity is high due to potential blast radius of unintended build executions (e.g., production deployments, data processing jobs).
From the tool's definition Tool name 'trigger_build' in a Jenkins CI/CD management context indicates execution of build pipelines. Sibling tools include 'stop_build' and 'get_build_log', confirming this server manages build execution.
Attacks that exploit this kind of access
trigger_build. It is categorised as a Execute tool in the Jenkins MCP Tool MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Jenkins MCP Tool MCP server in PolicyLayer and add a rule for trigger_build: 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 Jenkins MCP Tool. Nothing to install.
trigger_build is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the trigger_build 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.
Set action: deny in the PolicyLayer policy for trigger_build. 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.
trigger_build is provided by the Jenkins MCP Tool MCP server (xhuaustc/jenkins-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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