taiki-yoshida

taiki-yoshida / copilot-studio-code

Public

Local MCP server plus an importable Copilot Studio solution that gives a Microsoft Copilot Studio agent Claude-Code-style file and shell tools.

11
2
100% credibility
Found May 02, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This project runs a local helper service that lets Microsoft Copilot Studio AI agents read, edit, search, and run commands on your computer's files and folders with built-in safety controls.

How It Works

1
🔍 Discover the Code Helper

You find this free tool on GitHub that lets AI chatbots safely work with your computer's code files and folders.

2
💻 Start the Helper for Your Project

You run the simple setup on your computer, pick your project folder, and choose a safety level to protect your files.

3
🚀 Helper Springs to Life

A quick message appears confirming it's running safely and ready to connect, watching just your project.

4
🌐 Make a Safe Internet Bridge

You use a free Microsoft tool to create a secure public web address that links your local helper to the online AI world.

5
Link It to Your AI Assistant
📦
Use Ready-Made Setup

Import the included package to instantly get a fully equipped AI agent.

⚙️
Configure Yourself

Add the bridge link to your agent and turn on the file and command tools.

6
💬 Talk to Your Smart Assistant

In the chat test area, ask it to list files, read code, suggest edits, or run simple tasks on your project.

✅ AI Handles Your Code Like Magic

Now your AI buddy reads, changes, and runs things in your project effortlessly, speeding up your work.

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Star Growth

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AI-Generated Review

What is copilot-studio-code?

This TypeScript project runs a local MCP server that equips a Microsoft Copilot Studio agent with Claude-like tools for filesystem ops and shell execution—read, edit, search files, list dirs, glob, grep, and run commands—all jailed to your workspace root. It solves the gap where cloud-hosted Copilot Studio can't touch local code, shipping an importable solution zip for instant agent setup via test canvas. Expose it securely with Microsoft Dev Tunnels for HTTPS access, picking safety modes like strict (no shell), moderate (logged shell), or open.

Why is it gaining traction?

Developers dig the prebuilt Copilot Studio code agent and connector that skips manual config, plus audit-logged actions in .copilotstudio-mcp for traceability—beats fiddling with local GitHub Copilot alternatives or runners. Safety modes and path jailing prevent disasters during copilot studio code generation or execution, while tools like edit_file (exact-match replaces) and run_shell (with timeouts) deliver precise local MCP client control. It's a lightweight local GitHub actions runner stand-in for AI-driven workflows, no cloud vendor lock-in.

Who should use this?

Copilot Studio builders prototyping agents that grep/edit local repos or run npm scripts from the canvas. Backend devs needing a local GitHub Copilot alternative for shell-heavy tasks like git status summaries. Teams experimenting with copilot studio code node tools in isolated workspaces, avoiding full local GitHub instances.

Verdict

Worth a spin for Copilot Studio code view/execution fans—solid docs and npm start simplicity make early tests easy, despite 11 stars and 1.0% credibility signaling immaturity. Fork and harden for prod; great for local MCP Claude experiments now.

(198 words)

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