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codeloop-mcp-server

CodeLoop MCP server - verification, self-repair, and recommendation layer for AI coding agents

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build.protocol_tooling.mcp#codeloop#mcp#mcp-server#model-context-protocol#cursor#cursor-ide#claude-code#testing#verification#ai-coding

Install codeloop-mcp-server in your MCP client

codeloop-mcp-server is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.

  1. Locate your client's MCP config file.
    • Cursor: ~/.cursor/mcp.json
    • Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
    • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
    • VS Code: Settings → Extensions → MCP
    • Windsurf: Settings → MCP Servers
  2. Add codeloop-mcp-server to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing mcpServers object.
  3. Restart your client so it picks up the new server.
  4. Verify — ask the assistant to list available tools; codeloop-mcp-server's tools should appear.
{
  "mcpServers": {
    "codeloop-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "codeloop-mcp-server"
      ]
    }
  }
}

Install codeloop-mcp-server in Cursor

Open ~/.cursor/mcp.json in your editor, paste the snippet above into mcpServers, save, and restart Cursor. codeloop-mcp-server will show up in the assistant's tool list on next launch.

Install codeloop-mcp-server in Claude Desktop (macOS)

Open ~/Library/Application Support/Claude/claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (macOS). codeloop-mcp-server will show up in the assistant's tool list on next launch.

Install codeloop-mcp-server in Claude Desktop (Windows)

Open %APPDATA%\Claude\claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (Windows). codeloop-mcp-server will show up in the assistant's tool list on next launch.

Install codeloop-mcp-server in VS Code

Open Settings → Extensions → MCP in your editor, paste the snippet above into mcpServers, save, and restart VS Code. codeloop-mcp-server will show up in the assistant's tool list on next launch.

npm package: codeloop-mcp-server

Transport

codeloop-mcp-server supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.

stdio

From the codeloop-mcp-server README

# `codeloop-mcp-server` [![npm](https://img.shields.io/npm/v/codeloop-mcp-server.svg)](https://www.npmjs.com/package/codeloop-mcp-server) [![docs](https://img.shields.io/badge/docs-codeloop.tech-blue)](https://codeloop.tech/docs) [![license](https://img.shields.io/npm/l/codeloop-mcp-server.svg)](./LICENSE) The **CodeLoop** Model Context Protocol (MCP) server. Exposes 29 tools that automate the verify → diagnose → fix → gate-check loop for any AI coding agent (Cursor, Claude Code, Codex, Gemini, Aider, …). CodeLoop runs **locally** and **never spawns its own LLM calls** — it orchestrates real test runners, screenshot tooling, video recorders, and gate evaluators, then posts structured artifacts back into the agent's chat. Zero extra LLM tokens; zero rate-limit risk; works the same on mac

Other Model Context Protocol servers in the same space as codeloop-mcp-server. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.

Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.