New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

flow_parallel

Run same action on multiple devices in parallel. Uses Promise.allSettled for concurrent execution.

SERVERClaude Mobile SOURCEalexgladkov/claude-in-mobile
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/alexgladkov-claude-in-mobile/flow-parallel.md

What flow_parallel does on Claude Mobile

AI agents invoke flow_parallel to trigger actions in Claude Mobile. 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 flow_parallel is rated High

This is an Execute-category tool because it triggers external operations (device control actions) whose effects depend on the arguments passed—specifically, whatever action is being run on the devices in parallel.

From the tool's definition Tool description states 'Run same action on multiple devices in parallel' and 'concurrent execution'. The parent server enables 'control devices with natural language through screenshots, UI interactions, text input, and app management'.

Questions about flow_parallel

What does the flow_parallel tool do? +

Run same action on multiple devices in parallel. Uses Promise.allSettled for concurrent execution. It is categorised as a Execute tool in the Claude Mobile MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on flow_parallel? +

Register the Claude Mobile MCP server in PolicyLayer and add a rule for flow_parallel: 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 Claude Mobile. Nothing to install.

What risk level is flow_parallel? +

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

Can I rate-limit flow_parallel? +

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

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

flow_parallel is provided by the Claude Mobile MCP server (alexgladkov/claude-in-mobile). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Claude Mobile, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Claude Mobile's. Pull the full record:

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.