MCP Tool Reference High Risk

mcp_ado_pipelines_run_pipeline

Start a new pipeline run with optional parameters

Part of the Azure DevOps MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

@azure-devops/mcp Execute

WHEN AI AGENTS USE THIS TOOL

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.

WHY ENFORCE A POLICY ON MCP_ADO_PIPELINES_RUN_PIPELINE

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. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

RECOMMENDED POLICY

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

azure-devops.yaml 
tools:
  mcp_ado_pipelines_run_pipeline:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Azure DevOps policy for all 84 tools.

DETAILS

Tool Name

mcp_ado_pipelines_run_pipeline

Category

Execute

MCP Server

Azure DevOps MCP Server

Risk Level

High

MORE AZURE DEVOPS TOOLS

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mcp_ado_core_list_project_teams Read
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mcp_ado_core_get_identity_ids Read
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mcp_ado_pipelines_get_builds Read
Retrieve a list of builds with optional filters
mcp_ado_pipelines_get_build_status Read
Get the status of a specific build
mcp_ado_pipelines_get_build_log Read
Retrieve complete logs for a build

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RELATED READING

FREQUENTLY ASKED QUESTIONS

What does the mcp_ado_pipelines_run_pipeline tool do?

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.

How do I enforce a policy on mcp_ado_pipelines_run_pipeline?

Add a rule in your Intercept YAML policy under the tools section for mcp_ado_pipelines_run_pipeline. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Azure DevOps MCP server.

What risk level is mcp_ado_pipelines_run_pipeline?

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

Can I rate-limit mcp_ado_pipelines_run_pipeline?

Yes. Add a rate_limit block to the mcp_ado_pipelines_run_pipeline rule in your Intercept 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 mcp_ado_pipelines_run_pipeline completely?

Set action: deny in the Intercept 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.

What MCP server provides mcp_ado_pipelines_run_pipeline?

mcp_ado_pipelines_run_pipeline is provided by the Azure DevOps MCP server (@azure-devops/mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

ENFORCE POLICIES ON AZURE DEVOPS

Open source. One binary. Zero dependencies.

VIEW ON GITHUB Full Azure DevOps policy →