Segment Workspace MCP Server

A local Model Context Protocol server that lets Claude Desktop, Gemini CLI, or any other MCP-compatible client query and operate on a Segment workspace through the Segment Public API — built on FastMCP.

It's aimed at engineers who develop Segment functions and debug identity resolution, and exposes ~40 tools: read-only inspection across sources, destinations, functions, tracking plans, delivery metrics, audiences, computed traits, warehouses, destination filters, and transformations, plus gated mutation tools (create/update/delete/deploy) for functions, destination filters, transformations, and deletion/suppression regulations.

How it fits together

You (natural language)
        ↓
Claude Desktop / Gemini CLI
        ↓
MCP protocol (stdio)
        ↓
This FastMCP server (runs locally)
        ↓
Segment Public API SDK
        ↓
Your Segment workspace

Related MCP server: databricks-mcp

Quick start

1. Create a virtualenv and install dependencies:

   uv venv --python $(brew --prefix python@3.12)/bin/python3.12
   source .venv/bin/activate
   uv pip install fastmcp python-dotenv httpx
   uv pip install git+https://github.com/segmentio/public-api-sdk-python.git

2. Generate a Segment Public API token. In the Segment app: Workspace Settings → Access Management → Tokens. Requires Workspace Owner.

3. Add the token to a .env file next to server.py (never commit this file — see .gitignore):

   SEGMENT_PUBLIC_API_TOKEN=sgp_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

   For Profile API tools (get_profile_traits, get_profile_events, etc.), also set a space-scoped token:

   SEGMENT_PROFILE_TOKEN_<space_id>=spa_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
   # or, for single-space setups:
   SEGMENT_PROFILE_TOKEN=spa_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

4. Register with your MCP client.

   Gemini CLI:

   fastmcp install gemini-cli server.py --server-name segment-workspace

   Claude Desktop — add to claude_desktop_config.json:

   {
     "mcpServers": {
       "segment-workspace": {
         "command": "/abs/path/to/.venv/bin/python",
         "args": ["/abs/path/to/server.py"],
         "env": { "SEGMENT_PUBLIC_API_TOKEN": "sgp_..." }
       }
     }
   }

For a full walkthrough (including first-time Homebrew/Python/Node setup on a Mac), see docs/SETUP_GUIDE.md and docs/Claude_Desktop_Segment_MCP_Setup.md.

Safety: the confirmation gate

Every destructive tool (create / update / delete / deploy) takes a confirm: bool = False parameter. The first call always returns a preview of what would happen and makes no change. The client is instructed to show that preview to the user and only re-call with confirm=True after explicit approval. Combined with the MCP client's own per-call approval prompt, every mutation is confirmed twice before it executes.

Contributing

See CONTRIBUTING.md for how the code in server.py is organized and how to add or change a tool.

License

See LICENSE.