Adf
БесплатноНе проверенEnables interaction with Azure Data Factory instances, allowing users to list, read, create, update, and trigger pipelines, datasets, linked services, and runs
Описание
Enables interaction with Azure Data Factory instances, allowing users to list, read, create, update, and trigger pipelines, datasets, linked services, and runs through natural language.
README
One FastMCP server fronting one or more
Azure Data Factory instances. Every tool takes a factory argument naming a
target in connections.json; call list_factories first to see the configured
targets.
Built on azure-mgmt-datafactory + azure-identity. Read tools work on any
target; tools that create resources or trigger runs require the target to be
flagged "writable": true.
Tools
Discovery / read (any target):
list_factories— configured targetsdiscover_factories— every ADF in a target's subscription (to fill in config)list_pipelines/get_pipelinelist_datasets/get_datasetlist_linked_services/get_linked_servicelist_triggers/get_trigger
Run monitoring / error analysis (any target):
list_pipeline_runs— run history over the last N days; filter by pipeline/statusget_pipeline_runlist_activity_runs— per-activity status / timing / error for a runanalyze_run_errors— run message + every failed activity's error code & message
Write (only against a "writable": true target):
create_or_update_linked_servicecreate_or_update_datasetcreate_or_update_pipelinerun_pipeline— trigger a run, returns the run_idcancel_pipeline_runstart_trigger/stop_trigger
Resource definitions are the JSON you see in ADF Studio's code view — pass
either the full { "name": ..., "properties": {...} } object or just the inner
properties object.
Configure
Copy connections.example.json to connections.json and fill in your targets:
{
"dev": {
"subscription_id": "00000000-0000-0000-0000-000000000000",
"resource_group": "rg-data-dev",
"factory_name": "adf-dev",
"auth": "azure-cli",
"writable": true
},
"prod": {
"subscription_id": "00000000-0000-0000-0000-000000000000",
"resource_group": "rg-data-prod",
"factory_name": "adf-prod",
"auth": "azure-cli",
"writable": false
}
}
connections.json and .env are gitignored — they never leave your machine.
Auth
Set "auth" per target:
| value | how it signs in |
|---|---|
azure-cli (default) |
reuses an az login token (requires Azure CLI) |
broker |
Windows WAM broker popup (no CLI needed; great in tenants that block device-code flow) |
interactive |
browser sign-in popup |
service-principal |
app registration; secret read from client_secret_env (see .env.example) |
default |
DefaultAzureCredential (env → cli → broker → …) |
The identity needs an ADF RBAC role on the factory — Data Factory Contributor for create/trigger, Reader for the read tools.
Setup
python -m venv .venv
.\.venv\Scripts\python.exe -m pip install -r requirements.txt
copy connections.example.json connections.json # then edit it
.\.venv\Scripts\python.exe server.py # smoke test (Ctrl+C to stop)
Finding your factories
discover.py signs in once and lists every subscription and the data factories
in each, so you can fill in subscription_id / resource_group / factory_name:
.\.venv\Scripts\python.exe -m pip install azure-mgmt-subscription azure-mgmt-resource
.\.venv\Scripts\python.exe discover.py
Register with an MCP client
See examples/mcp.json:
{
"mcpServers": {
"adf": {
"command": "C:\\path\\to\\mcp-adf\\.venv\\Scripts\\python.exe",
"args": ["C:\\path\\to\\mcp-adf\\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": {
"adf": {
"command": "C:\\path\\to\\mcp-adf\\.venv\\Scripts\\python.exe",
"args": ["C:\\path\\to\\mcp-adf\\server.py"],
"env": {}
}
}
}
On macOS the paths are POSIX, e.g. "command": "/Users/you/mcp-adf/.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.
Установка Adf
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/rajivdatta/mcp-adfFAQ
Adf MCP бесплатный?
Да, Adf MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Adf?
Нет, Adf работает без API-ключей и переменных окружения.
Adf — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Adf в Claude Desktop, Claude Code или Cursor?
Открой Adf на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
GitHub
PRs, issues, code search, CI status
автор: GitHubFilesystem
Secure file operations with configurable access controls.
Memory
Knowledge graph-based persistent memory system.
Template MCP Server
A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure
автор: mcpdotdirectCompare Adf with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории development
