mcp-ambari-api

🔍Model Context Protocol (MCP) server for Apache Ambari API integration. This project provides tools for managing Hadoop clusters, including service operations, configuration management, status monitoring, and request tracking.

22 articles 1 View on GitHub ↗
22 articles
MCP Ambari API Deployment Options: PyPI, Docker, and Local Installation

Deploy the MCP Ambari API using PyPI for production, Docker for containers, or local installation for development. Choose the best method for your needs.

getting-started
Feb 26, 2026
How to Extend the MCP Ambari API Server with New Ambari Endpoints

Extend the MCP Ambari API server by adding new Ambari endpoints. Learn to create async functions using decorators and the make ambari request helper.

how-to-guide
Feb 26, 2026
Error Handling Patterns Used in MCP Tools in the mcp-ambari-api Repository

Discover MCP tools error handling patterns. Learn about @log_tool decorator, try-except blocks, API error detection, and uniform prefixes for LLM clients in mcp-ambari-api.

deep-dive
Feb 26, 2026
How prompt_template.md Enables Seamless LLM Integration in MCP Ambari API

Discover how prompt_template.md streamlines LLM integration with the MCP Ambari API. Access dynamic prompt sections for seamless model interaction.

how-to-guide
Feb 26, 2026
Python Version and Dependencies Required for the MCP Ambari API

Discover the required Python version and dependencies for the MCP Ambari API. Learn about Python 3.12+ aiohttp and fastmcp for seamless HTTP communication and MCP server functions.

getting-started
Feb 26, 2026
How to Get HDFS Capacity Reports Using `hdfs_dfadmin_report` in MCP Ambari API

Learn how to get HDFS capacity reports using hdfs_dfadmin_report in MCP Ambari API. This tool queries Ambari Metrics and REST API for capacity metrics.

how-to-guide
Feb 26, 2026
How to Use Alert History Tools for Monitoring Ambari Clusters

Monitor Ambari clusters with alert history tools. Learn to query real-time and historical alert data using the get_alerts_history tool for efficient cluster management.

how-to-guide
Feb 26, 2026
Architecture of the Metrics Catalog and Caching System in MCP Ambari API

Explore the three-layer TTL-driven caching system architecture in the MCP Ambari API. Learn how it aggregates Ambari Metrics Service metadata into a dynamic, read-only catalog, preventing thundering herds with async locks.

architecture
Feb 26, 2026
How Request Tracking Works with `get_request_status` in the MCP Ambari API

Learn how get_request_status in the MCP Ambari API tracks cluster operations. Query Ambari REST APIs for status, progress, and metadata using a request ID. Discover how request tracking works.

how-to-guide
Feb 26, 2026
How to Configure Multiple Ambari Clusters with Separate MCP Servers: A Complete Deployment Guide

Learn to configure multiple Ambari clusters with separate MCP servers. Deploy independent server processes per cluster for seamless management. Complete deployment guide.

how-to-guide
Feb 26, 2026
Security Best Practices for Production Deployment of the MCP Ambari API Server

Secure your MCP Ambari API server in production with essential best practices. Enable token auth, use strong secrets, terminate TLS at a proxy, and restrict network access.

best-practices
Feb 26, 2026
How Async HTTP Request Handling Works in MCP Ambari API’s functions.py

Explore async HTTP request handling in MCP Ambari API's functions.py. Learn how aiohttp non-blocking REST calls, context-managed sessions, and error logging optimize Ambari interactions.

internals
Feb 26, 2026

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