@p31/mcp-membrane

Post-deploy verification meets gamification. The only MCP server that combines DORA metrics, deploy checks, and real-time XP/LOVE rewards into your AI agent's toolchain.

AI now writes 41% of all code, but delivery stability has dropped 7.2% and code churn has doubled. Teams need more than raw throughput — they need verification infrastructure that closes the loop. Membrane gives AI agents exactly that: a post-deploy audit layer that scores every deploy, tracks DORA trends, and rewards quality with XP and LOVE.

Installation

npm install @p31/mcp-membrane

Related MCP server: Arthur

Usage

As an MCP server (stdio)

Add to your MCP client config (e.g., Cursor, Claude Desktop, VS Code):

{
  "mcpServers": {
    "membrane": {
      "command": "npx",
      "args": ["-y", "@p31/mcp-membrane"]
    }
  }
}

As a library

import { MembraneClient, calculateDORAScore } from '@p31/mcp-membrane';

const client = new MembraneClient();
const state = await client.getState();
const metrics = await client.getDORAMetrics();

Why Membrane?

DORA metrics alone are no longer enough. The 2025 DORA report proved that AI adoption correlates with increased delivery instability — even as individual productivity rises. Membrane is the first MCP server to close that gap by:

• Verifying every deploy — multi-category checks (HTTP, browser, asset, security, performance) with pass/fail tracking

• Tracking DORA trends over time — deployment frequency, lead time, change failure rate, and MTTR with color-coded scorecards

• Gamifying operational excellence — XP levels, LOVE rewards, achievements, and streaks for teams that ship quality

The result: your AI agents don't just write code faster — they verify it, score it, and earn rewards for getting it right.

Tools

DORA Metrics

The server provides four key DORA metrics from Google's DevOps Research and Assessment team, with color-coded scoring:

License

MIT — P31 Labs