build_item
AI agents invoke build_item 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.
Building a Jenkins item triggers execution of pipelines, scripts, and external operations with unpredictable side effects depending on job configuration. This falls under Execute rather than Write because builds are active operations that run external code, not merely configuration changes.
From the tool's definition Tool name 'build_item' in context of Jenkins MCP server strongly implies triggering a build job. Jenkins builds execute code/scripts on agents whose effects depend on job configuration arguments.
Attacks that exploit this kind of access
build_item. 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 build_item: 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.
build_item 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 build_item 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 build_item. 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.
build_item is provided by the Mcp Jenkins MCP server (lanbaoshen/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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