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

tunnel_start

Start the public tunnel on the live gateway port.

SERVERLocalAnt SOURCEyuga-hashimoto/localant
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/yuga-hashimoto-localant/tunnel-start.md

What tunnel_start does on LocalAnt

AI agents invoke tunnel_start to trigger actions in LocalAnt. 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 tunnel_start is rated High

This tool triggers an external operation (starting a public tunnel) whose effects are significant and depend on gateway configuration. It enables network exposure of the LocalAnt gateway, potentially allowing remote access to the PC control capabilities. This is an Execute action because it initiates a process/service with real-world side effects, but not Destructive (reversible via tunnel_stop) and not Financial.

From the tool's definition Tool name 'tunnel_start' combined with description 'Start the public tunnel on the live gateway port' indicates initiation of a network tunnel that exposes a local service to the public internet.

Questions about tunnel_start

What does the tunnel_start tool do? +

Start the public tunnel on the live gateway port. It is categorised as a Execute tool in the LocalAnt MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on tunnel_start? +

Register the LocalAnt MCP server in PolicyLayer and add a rule for tunnel_start: 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 LocalAnt. Nothing to install.

What risk level is tunnel_start? +

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

Can I rate-limit tunnel_start? +

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

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

tunnel_start is provided by the LocalAnt MCP server (yuga-hashimoto/localant). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on LocalAnt, 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 LocalAnt'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.