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MCP Ambari API Server
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python
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6 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
You can manage an Apache Ambari cluster through natural-language driven MCP tools that translate your commands into Ambari REST calls. This MCP server provides interactive cluster operations, real-time visibility, and automation-friendly interfaces for common administration tasks across Hadoop ecosystems, helping you operate more efficiently with consistent, auditable workflows.
How to use
You will interact with the MCP server through an MCP client or OpenWebUI-compatible tooling. Use plain language to query cluster status, start or stop services, inspect configurations, review alerts, and fetch metrics. The tools expose actions for cluster information, service control, configuration handling, host and user management, and alert viewing. For operational safety, long-running or bulk actions are typically guarded by confirmation prompts and structured prompts that explain risk before proceeding.
Typical usage patterns include: asking for current cluster health, listing active requests, inspecting a serviceās components and hosts, starting or stopping a service across the cluster, exporting configurations, and querying Ambari Metrics for time-series data. You can also retrieve consolidated reports that resemble dfsadmin-style outputs and view real-time metric trends.
How to install
Prerequisites: ensure you have Docker and Docker Compose installed if you plan to run the MCP server in containers. You will also need a reachable Ambari cluster (Ambari 2.7+ is recommended) and access credentials for Ambari. If you plan to use the streamable-http transport, prepare a host for remote access and consider enabling Bearer token authentication for production environments.
Step 1: Prepare the Ambari cluster and environment configuration. Create a configuration file and populate Ambari connection details and optional authentication settings.
Step 2: Run the MCP server in stdio (local) mode or in streamable-http (remote) mode depending on your deployment. The local mode uses a command to launch the MCP server process, while the remote mode exposes an HTTP API endpoint you can connect to from your MCP client.
Additional content
Configuration details include Ambari host, port, user, password, and the cluster name you want to target by default. Optional Ambari Metrics (AMS) collector details can be configured for metric discovery and queries. Security considerations emphasize enabling remote authentication for production deployments and using strong secret keys. The server supports two transport modes: stdio for local setups and streamable-http for remote access, with a priority order for configuration values: CLI arguments take precedence over environment variables, which take precedence over defaults.
Example configurations for running the MCP server are shown below. Ensure you copy the exact command and environment variable names when integrating into your tooling.
Tools and endpoints overview
This MCP server exposes a collection of tools tailored for Ambari cluster management. They cover cluster information retrieval, service operations, configuration management, host and user administration, and alert handling. You can combine these tools to implement automation workflows that start or stop services in bulk, validate configurations, export summaries, and produce operational reports.
Available tools
get_cluster_info
Retrieve basic cluster information and status
get_active_requests
List currently active or running operations
get_request_status
Check status and progress of specific requests
get_cluster_services
List all services with their status
get_service_status
Get detailed status of a specific service
get_service_components
List components and host assignments for a service
get_service_details
Get comprehensive service information
start_service
Start a specific service
stop_service
Stop a specific service
restart_service
Restart a specific service
start_all_services
Start all services in the cluster
stop_all_services
Stop all services in the cluster
restart_all_services
Restart all services in the cluster
dump_configurations
Unified configuration tool for exporting or inspecting configurations
list_hosts
List all hosts in the cluster
get_host_details
Get detailed information for specific or all hosts
list_users
List all users in the Ambari system with their usernames and API links
get_user
Get detailed information about a specific user including profile and authentication details
get_alerts_history
Unified alert tool for current and historical alerts with filtering and formats