trigger_pipeline · Bitbucket Cloud MCP Server MCP

WHAT IT DOES

What trigger_pipeline does on Bitbucket Cloud MCP Server

AI agents invoke trigger_pipeline to trigger actions in Bitbucket Cloud MCP Server. 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.

WHY IT NEEDS A POLICY

Why trigger_pipeline needs a policy

Triggering a pipeline executes automated workflows (builds, tests, deployments) whose side effects are determined by the pipeline definition and cannot be predicted without inspecting the configuration. This is an Execute action because it runs code/operations external to the MCP server itself.

From the tool's definition Tool description states 'Trigger a new pipeline run' — this initiates execution of external CI/CD operations whose effects depend on pipeline configuration and branch context.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

trigger_pipeline Rate-limited

trigger_pipeline 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.

View as policy code

policy.json

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

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Bitbucket Cloud MCP Server, so you can run agents against it safely.

FAQ

Questions about trigger_pipeline

What does the trigger_pipeline tool do? +

Trigger a new pipeline run on a branch, tag, or bookmark. It is categorised as a Execute tool in the Bitbucket Cloud 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 trigger_pipeline? +

Register the Bitbucket Cloud MCP Server MCP server in PolicyLayer and add a rule for trigger_pipeline: 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 Bitbucket Cloud MCP Server. Nothing to install.

What risk level is trigger_pipeline? +

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

Can I rate-limit trigger_pipeline? +

Yes. Add a rate_limit block to the trigger_pipeline 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 trigger_pipeline completely? +

Set action: deny in the PolicyLayer policy for trigger_pipeline. 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 trigger_pipeline? +

trigger_pipeline is provided by the Bitbucket Cloud MCP Server MCP server (lexmata/bitbucket-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.