Get Jenkins job configuration in XML format
AI agents call get_job_config to retrieve information from Jenkins without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns job configuration data without creating, modifying, deleting, or executing any Jenkins operations. It is a read-only query operation with no side effects. The low severity reflects that configuration data exposure, while sensitive, does not directly trigger builds, delete data, or move resources.
From the tool's definition Tool name 'get_job_config' and description 'Get Jenkins job configuration in XML format' indicate data retrieval with no modification or execution.
Documented attack patterns abuse exactly the kind of access get_job_config gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Jenkins, and nothing reaches the server without passing your rules. This is the rule we recommend for get_job_config:
{
"version": "1",
"default": "deny",
"tools": {
"get_job_config": {}
}
}get_job_config is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get Jenkins job configuration in XML format. It is categorised as a Read tool in the Jenkins MCP Server, which means it retrieves data without modifying state.
Register the Jenkins MCP server in PolicyLayer and add a rule for get_job_config: 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. Nothing to install.
get_job_config is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_job_config 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 get_job_config. 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.
get_job_config is provided by the Jenkins MCP server (truxt-ai/jenkins-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Jenkins, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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14 Jenkins tools catalogued and risk-classified — across an index of 43,000+ MCP servers.