Start a new pipeline run with optional parameters
Risk signalsTriggers CI/CD pipeline execution
Part of the Azure DevOps server.
Free to start. No card required.
AI agents invoke mcp_ado_pipelines_run_pipeline to trigger processes or run actions in Azure DevOps. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
mcp_ado_pipelines_run_pipeline can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"mcp_ado_pipelines_run_pipeline": {
"limits": [
{
"counter": "mcp_ado_pipelines_run_pipeline_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Azure DevOps policy for all 84 tools.
These attack patterns abuse exactly the kind of access mcp_ado_pipelines_run_pipeline gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Start a new pipeline run with optional parameters. It is categorised as a Execute tool in the Azure DevOps MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Azure DevOps MCP server in PolicyLayer and add a rule for mcp_ado_pipelines_run_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 Azure DevOps. Nothing to install.
mcp_ado_pipelines_run_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 mcp_ado_pipelines_run_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 mcp_ado_pipelines_run_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.
mcp_ado_pipelines_run_pipeline is provided by the Azure DevOps MCP server (@@azure-devops/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 84 Azure DevOps tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.