Copilot Leecher MCP Server

🧛 Copilot Leecher

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Squeeze every drop out of your GitHub Copilot premium requests — turn follow-up prompts into free MCP tool calls.

Why This Exists

GitHub Copilot charges by premium requests (300/month on Pro; each Claude Opus 4.6 call costs 3 requests), not by tokens. Through experimentation, we discovered:

So the most cost-effective way to use Copilot is: pack as much work as possible into a single premium request.

The problem? Humans rarely express everything perfectly in one shot. Follow-up questions ("wait, also do X…") are inevitable — and each one burns another request.

Copilot Leecher solves this by providing a request_review MCP tool. When the agent finishes a task, it calls this tool and blocks — waiting for your feedback via a local web UI. Your feedback is returned as a tool call result (free!), not a new user prompt. The agent then acts on your feedback within the same request.

One prompt → review → refine → review → approve. All for the price of a single premium request.

How It Works

You (1 prompt)                    Copilot Agent
    │                                  │
    ├─── "Implement feature X" ────────►  (works on it…)
    │                                  │
    │                  request_review() │  ← MCP tool call (FREE)
    │                                  │
    │   ┌──────────────────────────────┤
    │   │ Web UI (localhost:3456)      │
    │   │ "Also handle edge case Y"   │  ← your feedback
    │   └──────────────────────────────┤
    │                                  │
    │                  (improves work…) │
    │                                  │
    │                  request_review() │  ← still FREE
    │   ┌──────────────────────────────┤
    │   │ "ok"                         │  ← approved
    │   └──────────────────────────────┤
    │                                  │
    │            ✅ Done ◄──────────────┤
    │                                  │
    Total premium requests used: 1

Quick Start

1. Install & Build

git clone https://github.com/user/copilot-leecher.git
cd copilot-leecher
npm install
npm run build

2. Configure VS Code

Add to your VS Code settings.json:

{
  "github.copilot.chat.mcp.servers": {
    "copilot-leecher": {
      "command": "node",
      "args": ["/absolute/path/to/copilot-leecher/dist/index.js"]
    }
  }
}

Replace the path with your actual absolute path.

3. Restart VS Code & Open Dashboard

Restart VS Code. The MCP server auto-starts an HTTP dashboard at http://127.0.0.1:3456.

4. Use It

In your Copilot Chat prompt or Agent Contract, instruct the agent:

After completing your work, call the request_review tool with a taskId and summary.
Wait for feedback. If approved, finish. Otherwise, improve and request review again.

Then open http://127.0.0.1:3456 to review and provide feedback.

Architecture

┌─────────────────┐   ┌─────────────────┐   ┌─────────────────┐
│  VS Code #1     │   │  VS Code #2     │   │  Browser        │
│  Copilot Agent  │   │  Copilot Agent  │   │  127.0.0.1:3456 │
└────────┬────────┘   └────────┬────────┘   └────────┬────────┘
         │ MCP                 │ MCP                  │ HTTP
    ┌────▼────┐           ┌────▼────┐                 │
    │MCP+HTTP │           │MCP only │                 │
    │Server #1│           │Server #2│                 │
    │(:3456)  │           │(skipped)│                 │
    └────┬────┘           └────┬────┘                 │
         └────────┬────────────┘                      │
                  ▼                                   │
    ┌──────────────────────────────────┐              │
    │  /tmp/copilot-reviewer-sessions/ │◄─────────────┘
    │  (file-system persistence)       │
    └──────────────────────────────────┘

• The first MCP process binds port 3456 for the web dashboard.
• Subsequent instances skip the HTTP server but share session data via the filesystem.

MCP Tool: `request_review`

Returns: { status, feedback, sessionId, reviewerUrl }

• status: "approved" or "needs_revision"
• feedback: The reviewer's text

HTTP API

Agent Contract Template

Add this to your prompt / system instructions: