AModel Context Protocol (MCP) server acts as a proxy between an external service that provides context, data, or capabilities to a Large Language Model (LLM) or AI application. MCP servers connect AI applications to external systems such as databases and web services, translating their responses into a format that the AI application can understand.

An MCP server that provides tools for Cloud Monitoring

Server Endpoints

An MCP service endpoint is the network address and communication interface (usually a URL) of the MCP server that an AI application (the Host for the MCP client) uses to establish a secure, standardized connection. It is the point of contact for the LLM to request context, call a tool, or access a resource. Google MCP endpoints can be global or regional.

The monitoring.googleapis.com MCP server has the following MCP endpoint:

• https://monitoring.googleapis.com/mcp

MCP Tools

AnMCP tool is a function or executable capability that an MCP server exposes to a LLM or AI application to perform an action in the real world.

The monitoring.googleapis.com MCP server has the following tool:

curl--location'https://monitoring.googleapis.com/mcp'\--header'content-type: application/json'\--header'accept: application/json, text/event-stream'\--data'{    "method": "tools/list",    "jsonrpc": "2.0",    "id": 1}'