varandrew

varandrew / moor

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Moor is a local MCP control plane for Mac. It gives every coding agent one safe, observable, configurable gateway to your MCP servers.

21
3
100% credibility
Found Apr 30, 2026 at 21 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Moor is a macOS desktop app that aggregates multiple AI tool servers into a unified local gateway with profile-based filtering, hot-swapping, and activity auditing via a native UI.

How It Works

1
📥 Download Moor app

Get the simple macOS app that manages your AI agent's tools from the releases page.

2
🚀 Launch and scan setups

Open the app, let it find and import your existing tool connections automatically.

3
⭐ Build your first profile

Group tools into a profile for tasks like coding or research, turning them on or off as needed.

4
🔗 Share one easy address

Copy the single connect point and paste it into your AI apps—no more juggling multiple links.

5
📊 Switch and watch logs

Hot-switch profiles anytime and see every tool use logged safely in real time.

🎉 AI tools work perfectly

Your agents now access exactly the right tools, filtered and audited, all from one smooth app.

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Star Growth

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AI-Generated Review

What is moor?

Moor is a macOS-native app that aggregates multiple MCP servers into a single HTTP endpoint for AI agents, solving the chaos of juggling configs across clients like Claude Code or Codex. Developers get a clean dashboard to import server setups, create profiles for workflow-specific tool filtering, and monitor calls via audit logs—all without restarting agents. Built with Tauri, React, and a bundled TypeScript sidecar, it runs in the menu bar as your local MCP control plane.

Why is it gaining traction?

Unlike scattered MCP setups, Moor offers hot-swappable profiles that update tool catalogs live, tool-level toggles, and redacted audit logs with stats—features agents notice instantly via one `/mcp` endpoint. Auto-import from `~/.claude/settings.json` or Codex TOML cuts setup time, while SSE pushes keep the UI reactive. Early adopters dig the security (loopback-only) and client snippets for quick agent integration.

Who should use this?

Mac-based AI agent users—like prompt engineers switching between coding and research tools, or devs chaining MCP servers for GitHub, Linear, or Figma access. Ideal if you're tired of per-client configs and want observable, profile-based control without downtime.

Verdict

Grab it if you're on Mac and knee-deep in MCP agents—21 stars and 1.0% credibility scream early days, but polished docs, tests, and MIT license make it low-risk to try. Maturity lags behind big players, so watch for cross-platform expansion.

(198 words)

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