Get detailed information about a specific project in the JFrog platform
AI agents call jfrog_get_specific_project to retrieve information from JFrog MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves project metadata from the JFrog platform without modifying, deleting, or executing operations. The 'get' verb and 'detailed information about' phrasing are consistent with read-only query operations. Even if the information returned is sensitive (project details), the action itself is non-destructive retrieval.
From the tool's definition Tool name contains 'get' and description states 'Get detailed information about a specific project' - both indicate data retrieval with no side effects.
Documented attack patterns abuse exactly the kind of access jfrog_get_specific_project gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and JFrog MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for jfrog_get_specific_project:
{
"version": "1",
"default": "deny",
"tools": {
"jfrog_get_specific_project": {}
}
} jfrog_get_specific_project is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get detailed information about a specific project in the JFrog platform. It is categorised as a Read tool in the JFrog MCP Server MCP Server, which means it retrieves data without modifying state.
Register the JFrog MCP Server MCP server in PolicyLayer and add a rule for jfrog_get_specific_project: 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 JFrog MCP Server. Nothing to install.
jfrog_get_specific_project 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 jfrog_get_specific_project 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 jfrog_get_specific_project. 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.
jfrog_get_specific_project is provided by the JFrog MCP Server MCP server (jfrog/mcp-jfrog). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from JFrog MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
36 JFrog MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.