Clangaroo MCP Server

Clangaroo is meant to be super simple and is intended to 'just work'.

Local serverstdioPython

What is the Clangaroo MCP server?

If you already use Clangaroo, the clangaroo mcp server is the piece that lets your assistant work with it directly. Clangaroo is meant to be super simple and is intended to 'just work'.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • Setup — 1. Get your API key from Google AI Studio 2. Add to your environment (bash): export

Installation

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

Credentials and setup notes

Configuration is passed through the environment: CLANGAROO_AI_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Where it fits

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Clangaroo's toolset — Setup — is a fair guide to whether it matches your workflow. It is maintained by jasondk; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
Setup1. Get your API key from [Google AI Studio](https://makersuite.google.com/app/apikey) 2. Add to your environment (bash): export CLANGAROO_AI_API_KEY="your-api-key"

How to install the Clangaroo MCP server

{
  "mcpServers": {
    "clangaroo": {
      "command": "/usr/local/bin/clangaroo",
      "args": [
        "--project", "/path/to/your/cpp/project",
        "--warmup",
        "--warmup-limit", "10",
        "--log-level", "info",
        "--ai-enabled",
        "--ai-provider", "gemini-2.5-flash",
        "--ai-cache-days", "14",
        "--ai-cost-limit", "15.0",
        "--call-hierarchy-depth", "10",
        "--ai-analysis-level", "summary",
        "--ai-context-level", "minimal"
      ],
      "env": {
        "CLANGAROO_AI_API_KEY": "your-google-ai-api-key"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
CLANGAROO_AI_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Clangaroo to Setup.

Frequently asked questions

It connects Clangaroo to MCP-compatible AI assistants such as Claude and Cursor, exposing 1 tool (Setup) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Clangaroo directly.