jfrog_distribute_release_bundle

THE RISK

High Risk

Why jfrog_distribute_release_bundle needs a policy

Distributing a release bundle triggers an external operation that pushes artifacts to target environments. This is not a simple write (it orchestrates deployment across environments), and while it doesn't irreversibly delete data, it triggers a significant external operation with broad blast radius. If misused by an AI agent, it could deploy incorrect or malicious artifacts to production environments.

From the tool's definition Distribute a release bundle to a target environment

Documented attack patterns abuse exactly the kind of access jfrog_distribute_release_bundle gives an agent:

POLICY

How to control jfrog_distribute_release_bundle

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_distribute_release_bundle:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "jfrog_distribute_release_bundle": {
      "limits": [
        {
          "counter": "jfrog_distribute_release_bundle_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

jfrog_distribute_release_bundle stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register JFrog MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More JFrog MCP Server tools

Destructive jfrog_delete_permission_resource Delete a specific resource type from a permission target Destructive jfrog_delete_permission_target Delete a permission target from the JFrog platform Execute jfrog_execute_aql_query Execute an Artifactory Query Language (AQL) query to search for artifacts, builds, or othe Write jfrog_create_local_repository Create a new local repository in artifactroy Write jfrog_create_permission_target Create a new permission target in the JFrog platform Write jfrog_create_project Create a new project in the JFrog platform Write jfrog_create_release_bundle create a release bundle in the jfrog platform Write jfrog_create_remote_repository Create a new remote repository in Artifactory to proxy external package registries

All 36 JFrog MCP Server tools →

Execute tools on other servers

Android Forensics ADB MCP Server adb_shell_command EMBA-MCP run_emba_scan Frida Game Hacking MCP remove_breakpoint Procmon request_elevation

Go deeper

High-risk tools in JFrog MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about jfrog_distribute_release_bundle

What does the jfrog_distribute_release_bundle tool do? +

Distribute a release bundle to a target environment. It is categorised as a Execute tool in the JFrog MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on jfrog_distribute_release_bundle? +

Register the JFrog MCP Server MCP server in PolicyLayer and add a rule for jfrog_distribute_release_bundle: 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.

What risk level is jfrog_distribute_release_bundle? +

jfrog_distribute_release_bundle is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit jfrog_distribute_release_bundle? +

Yes. Add a rate_limit block to the jfrog_distribute_release_bundle 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.

How do I block jfrog_distribute_release_bundle completely? +

Set action: deny in the PolicyLayer policy for jfrog_distribute_release_bundle. 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.

What MCP server provides jfrog_distribute_release_bundle? +

jfrog_distribute_release_bundle 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.

Enforce policy on every JFrog MCP Server tool call.

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.

CHECK YOUR STACK →