mcp-fabric — Microsoft Fabric MCP server

A FastMCP server for developing Fabric notebooks and Dataflow Gen2 through the Fabric REST API (https://api.fabric.microsoft.com/v1). Tools take a workspace (display name or GUID) and an item name/GUID; call list_workspaces first.

Read tools always work; create/update/delete/run tools require "writable": true in config.json.

Tools

Discovery / read

• list_workspaces

• list_items — filter by item_type (Notebook, Dataflow, Lakehouse, …)

• get_item — item metadata

• get_item_definition — decoded definition parts of any item (generic/advanced)

Notebooks

• create_notebook — from source (code string) or ipynb (full notebook JSON)

• get_notebook — returns the source extracted from the notebook's ipynb

• update_notebook — replace content

• run_notebook — run on demand with optional parameters → returns a jobInstanceId

Dataflow Gen2

• create_dataflow — from a Power Query M mashup_document

• get_dataflow — decoded parts (mashup.pq = the M query, queryMetadata.json)

• update_dataflow — replace the M document

• refresh_dataflow / publish_dataflow — on-demand jobs

Jobs / lifecycle

• get_job — status of a notebook run / dataflow refresh

• cancel_job

• delete_item

Definition create/update are long-running operations; the server polls them to completion automatically. Notebook/dataflow runs return a jobInstanceId you monitor with get_job (they aren't polled to completion).

Related MCP server: Fabric-Analytics-MCP

Known limitations (per Microsoft docs)

• Dataflow Gen2 run APIs: refresh/publish can be invoked, but Microsoft currently notes the run may not complete successfully via API.

• Service-principal auth is not supported for dataflows (works for notebooks).

Auth

Set "auth" in config.json:

The identity needs an appropriate workspace role (Admin/Member/Contributor) to create and run items. Default token scope is https://api.fabric.microsoft.com/.default.

Setup

python -m venv .venv
.\.venv\Scripts\python.exe -m pip install -r requirements.txt
copy config.example.json config.json   # then edit if needed (broker auth works as-is)
.\.venv\Scripts\python.exe server.py    # smoke test (Ctrl+C to stop)

Register with an MCP client

See examples/mcp.json:

{
  "mcpServers": {
    "fabric": {
      "command": "C:\\path\\to\\mcp-fabric\\.venv\\Scripts\\python.exe",
      "args": ["C:\\path\\to\\mcp-fabric\\server.py"],
      "env": {}
    }
  }
}

Use with Claude Desktop

Claude Desktop reads its MCP servers from claude_desktop_config.json. Open it from Settings → Developer → Edit Config (this creates the file if it doesn't exist), or edit it directly:

• Windows: %APPDATA%\Claude\claude_desktop_config.json

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Add this server under mcpServers, using absolute paths to the venv's Python and server.py:

{
  "mcpServers": {
    "fabric": {
      "command": "C:\\path\\to\\mcp-fabric\\.venv\\Scripts\\python.exe",
      "args": ["C:\\path\\to\\mcp-fabric\\server.py"],
      "env": {}
    }
  }
}

On macOS the paths are POSIX, e.g. "command": "/Users/you/mcp-fabric/.venv/bin/python". Save the file and fully quit and reopen Claude Desktop (use Quit from the tray/menu-bar icon — closing the window isn't enough). The server's tools then appear in the tools (🔌) menu of a new chat.

License

MIT — see LICENSE.