run_groovy_script
AI agents invoke run_groovy_script 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.
Groovy scripts in Jenkins execute arbitrary code on Jenkins servers, potentially with access to Jenkins internals, file systems, and environment variables. This is a classic Execute-category capability with critical severity due to unrestricted code execution potential. No constraints on script content are documented, making this a high-impact vector if an AI agent is misused or prompt-injected.
From the tool's definition Tool name 'run_groovy_script' indicates execution of arbitrary Groovy code, which is a full programming language capable of system commands. Description is empty, but the name alone indicates code execution capability.
Attacks that exploit this kind of access
run_groovy_script. 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 run_groovy_script: 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.
run_groovy_script 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 run_groovy_script 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 run_groovy_script. 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.
run_groovy_script 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.
Teams ship this data inside their own products. See what a licence covers →