Breathehr MCP Server

Transform how you work with your Breathe HR data by asking AI assistants natural language questions like:

Local serverstdioPython

What is the Breathehr MCP MCP server?

Breathehr MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Transform how you work with your Breathe HR data by asking AI assistants natural language questions like:.

What the assistant can call

Once Breathehr MCP is connected, these are the calls the assistant has available:

  • Cursor — The Cursor tool exposed by this server
  • Architecture — The Architecture tool exposed by this server

Configuration and credentials

You will need 2 environment variables: BREATHE_HR_API_KEY, MCP_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Setting it up

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.

Choosing this one

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Breathehr MCP's toolset — Cursor, Architecture — is a fair guide to whether it matches your workflow. It is maintained by fuzzylabs; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

  • 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.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the breathehr mcp mcp server does with a few real requests.

Available tools

ToolWhat it does
CursorThe Cursor tool exposed by this server.
ArchitectureThe Architecture tool exposed by this server.

How to install the Breathehr MCP MCP server

{
  "mcpServers": {
    "breathe-hr": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/path/to/your/breathehr-mcp",
        "python",
        "-m",
        "breathe_hr_mcp"
      ],
      "env": {
        "BREATHE_HR_API_KEY": "your_breathe_hr_api_key_here"
      }
    }
  }
}

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

Configuration

VariableDescriptionRequired
BREATHE_HR_API_KEYCredential the server authenticates with.Yes
MCP_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Breathehr MCP to Cursor.
  • Use Breathehr MCP to Architecture.

Frequently asked questions

It connects Breathehr MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (Cursor, Architecture) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Breathehr MCP directly.