load_pipeline

load_pipeline

Server MaaMCP maa-ai/maamcp
Category Execute
Risk class High
Parameters 00 required

What load_pipeline does on MaaMCP

AI agents invoke load_pipeline to trigger actions in MaaMCP. 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 load_pipeline needs a policy

Based on the server context (MaaFramework automation) and sibling tools like 'clear_pipeline_resources', 'connect_adb_device', and 'connect_window', a 'load_pipeline' tool likely loads an automation pipeline configuration or resource set, which could trigger execution of automation scripts or workflows. This falls under Execute as it likely initiates or prepares an operational pipeline.

From the tool's definition Tool name 'load_pipeline' on a server providing Android/Windows automation capabilities; description is empty and uninformative.

Questions about load_pipeline

What does the load_pipeline tool do? +

load_pipeline. It is categorised as a Execute tool in the MaaMCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on load_pipeline? +

Register the Maa MCP server in PolicyLayer and add a rule for load_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 MaaMCP. Nothing to install.

What risk level is load_pipeline? +

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

Can I rate-limit load_pipeline? +

Yes. Add a rate_limit block to the load_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 load_pipeline completely? +

Set action: deny in the PolicyLayer policy for load_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 load_pipeline? +

load_pipeline is provided by the Maa MCP server (maa-ai/maamcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.