bitbucket_trigger_pipeline
Trigger a new pipeline run
This record as markdown: /tools/jrmatherly-mcp-context-forge/bitbucket-trigger-pipeline.md
What bitbucket_trigger_pipeline does on ContextForge MCP Gateway
AI agents invoke bitbucket_trigger_pipeline to trigger actions in ContextForge MCP Gateway. 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 bitbucket_trigger_pipeline is rated High
This tool invokes an external operation (Bitbucket pipeline execution) whose side effects are substantial and depend on arguments. While not destructive in the sense of data deletion, triggering a pipeline can have wide-ranging consequences including code deployments, resource provisioning, or test failures. This is classically Execute: it runs code/operations external to the immediate system.
From the tool's definition The tool name and description explicitly indicate it 'Trigger[s] a new pipeline run' – this executes an external CI/CD pipeline whose effects (build, test, deploy) depend on the pipeline configuration and cannot be easily reversed.
Attacks that exploit this kind of access
The rule that runs bitbucket_trigger_pipeline safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ContextForge MCP Gateway, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For bitbucket_trigger_pipeline, this is the rule to start with:
bitbucket_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.
The button opens the PolicyLayer dashboard: create your workspace, connect ContextForge MCP Gateway, apply this rule, and every bitbucket_trigger_pipeline call is checked against it from then on.
Questions about bitbucket_trigger_pipeline
Trigger a new pipeline run. It is categorised as a Execute tool in the ContextForge MCP Gateway MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ContextForge MCP Gateway MCP server in PolicyLayer and add a rule for bitbucket_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 ContextForge MCP Gateway. Nothing to install.
bitbucket_trigger_pipeline 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 bitbucket_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.
Set action: deny in the PolicyLayer policy for bitbucket_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.
bitbucket_trigger_pipeline is provided by the ContextForge MCP Gateway MCP server (jrmatherly/mcp-context-forge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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