Local MCP server that integrates LLMs with Mackerel monitoring platform. Enables AI models to access and interact with Mackerel's infrastructure monitoring capabilities through the Model Context Protocol.
mcp-server is a Model Context Protocol (MCP) server implementation that bridges LLMs with Mackerel, a cloud monitoring and management platform. It allows AI assistants to query monitoring data, manage infrastructure alerts, and perform automation tasks within Mackerel through natural language interactions.
Clone the repository from GitHub, install dependencies using npm or yarn, configure your Mackerel API credentials in environment variables, and run the server locally. Connect your MCP-compatible client (Claude, ChatGPT with MCP support, etc.) to the local server endpoint to enable Mackerel integration.
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