datadog-mcp-server

datadog-mcp-server

3.1
databasesmonitoringdeveloper_tools

If you are the rightful owner of datadog-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

FastMCP is a lightweight Model Context Protocol (MCP) server implemented with a fast and Pythonic framework for building MCP servers and clients.

FastMCP is a server designed to handle model context protocols efficiently. It allows users to create, retrieve, update, and delete model contexts, execute queries against specific contexts, and filter by model name and tags. The server is built using the FastMCP framework, which simplifies the development of MCP servers and clients. It supports in-memory storage for development purposes and integrates with Datadog for metrics and monitoring. FastMCP requires Python 3.7 or higher and recommends using the 'uv' package for environment management. The server can be installed using provided scripts or manually, and it offers various methods for configuring Datadog integration.

Features

  • Create, retrieve, update, and delete model contexts
  • Query execution against specific contexts
  • Filtering by model name and tags
  • In-memory storage for development
  • Datadog integration for metrics and monitoring

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