Trigger a new build for a job, optionally with parameters
AI agents invoke jenkins_trigger_build to trigger actions in Mcp Jenkins. 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 execution of arbitrary build jobs on a Jenkins instance. While the tool itself does not directly run code in the agent's context, it causes remote code execution (build pipelines) to occur as a side effect. Build jobs can perform destructive operations, access secrets, or have broad system impacts depending on their configuration.
From the tool's definition Tool name 'jenkins_trigger_build' and description 'Trigger a new build for a job, optionally with parameters' indicate execution of Jenkins build jobs, which runs code/pipelines on external infrastructure.
Attacks that exploit this kind of access
Trigger a new build for a job, optionally with parameters. It is categorised as a Execute tool in the Mcp Jenkins MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Jenkins MCP server in PolicyLayer and add a rule for jenkins_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 Mcp Jenkins. Nothing to install.
jenkins_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 jenkins_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 jenkins_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.
jenkins_trigger_build is provided by the Mcp Jenkins MCP server (@kud/mcp-jenkins). 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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