MCP-based agent connection
Connect your Mac to an MCP-compatible agent by downloading Latch, copying the MCP link, and pasting it into the agent you already use.
Plow Latch
Plow Latch connects MCP-compatible AI agents to the browser, CLI, files, and logins on your Mac so they can complete tasks with your approval or AI Reviewer oversight. It is aimed at people who want agents to finish Mac-based workflows without handing over passwords or storing data in a Plow cloud database.
What Plow Latch does
Plow Latch is a Mac companion for AI agents that need to do real work on your machine. It links an agent such as Claude.ai, Codex, OpenClaw, or Hermes to the browser, CLI, files, and saved logins already on your Mac so the agent can carry out steps instead of sending them back for manual execution.
The product is built around controlled access. You can approve each request yourself, or let the AI Reviewer decide whether a request fits the job you set. Plow says it keeps no copy of your data, and the homepage emphasizes that Latch can use your local accounts and logins without revealing passwords to the agent.
Core features
Mac-native access to tools and accounts
Let the agent use the browser, CLI, files, and logins already on your Mac so it can complete multi-step work instead of handing steps back to you.
Request-by-request approval
Approve each request yourself, or let the AI Reviewer judge the request against the job you set before action is taken.
Instruction boundary checks
Treat the agent’s output as data rather than instruction so redirected pages, emails, or files cannot silently steer the workflow.
Hidden password filling
Allow password entry without exposing the password to the agent, according to the homepage description.
Browser, CLI, and file workflows
Use the same setup for browsing, command execution, account access, and file handling on your Mac.
Practical use cases
Complete everyday admin tasks
Use Latch when you want an agent to reserve a campsite, book a restaurant, or pay a utility bill by working through your browser and accounts on your Mac.
Plan a trip end to end
Use it for personal planning workflows where the agent needs to search, book, and then place the confirmation on your calendar, such as organizing a camping trip.
Reconcile expenses and receipts
Use it to search inboxes and files, match receipts to charges, and rerun the job later while you sleep.
Run your own agent setup
Use it when you are building with agents and want OpenClaw to access Gmail, Slack, the browser, and the CLI on your Mac.
Add a review step to risky requests
Use it in situations where a page, email, or file might try to redirect the agent, because anything not already allowed pauses for a decision.
Pros and Cons
Pros
- Connects an existing agent to the browser, CLI, files, and logins on your Mac.
- Lets you choose between manual approval and the AI Reviewer for each request.
- Designed to reduce exposure of passwords while still allowing account use.
- States that Plow keeps no copy of your data and does not maintain a cloud database for it.
- Focuses on finishing practical Mac tasks such as booking, billing, receipt matching, and trip planning.
Cons
- The available source does not include pricing, so cost and plan structure are unclear.
- The public page gives only partial detail on setup requirements, supported platforms, and connector limits.
FAQ
How do you connect Latch to an AI agent?
Latch is designed to connect an MCP-compatible AI agent to the browser, CLI, files, and saved logins already on your Mac. The page says you download Latch, copy your Mac’s MCP link, and paste it into Claude.ai, Codex, OpenClaw, Hermes, or another compatible agent.
How does Latch handle your Mac data and logins?
The page says Plow keeps no copy of your data and does not hold a cloud database with your information. It also says Latch can fill passwords without revealing them to the agent.
What is the AI Reviewer for?
The homepage says anything you have not already allowed stops for a decision, either from you or from the AI Reviewer. The reviewer treats the agent’s output as data rather than instruction and denies when it cannot reach a verdict.
What kinds of tasks is Latch meant for?
The source describes Latch as a way to let an agent browse, run commands, and use accounts on your Mac while you watch each request and decision. It is positioned for jobs the agent can explain but not finish without access to your Mac.
Which agents does Latch support?
The homepage mentions Claude.ai, Codex, OpenClaw, Hermes, and any MCP-compatible agent. Beyond that, the source does not list a full compatibility matrix or platform requirements.
Quick Facts
- Category
- AI agent automation
- Platform
- Mac
- Primary users
- People using Claude.ai, Codex, OpenClaw, Hermes, or another MCP-compatible agent
- Core workflow
- Download Latch, copy the Mac MCP link, paste it into an agent, and approve or delegate requests
- Data handling
- Plow says it keeps no copy of your data
- Pricing
- Not disclosed on the available pages
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