A Model 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.
MCP Tools
An MCP 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. Toolsets are a group of tools that are useful for a specific task. Using toolsets can help your agent perform better because it decreases the number of tools available to your agent.
Toolsets
The docsmcp.googleapis.com MCP server has the following toolsets:
| MCP Toolsets | ||
|---|---|---|
| Endpoint | Description | Tools |
| /mcp/v1 | Google Docs Public MCP v1 toolset. | |
Get MCP tool specifications
To get the MCP tool specifications for all tools in an MCP server, use the tools/list method. The following example demonstrates how to use curl to list all tools and their specifications currently available within the MCP server.
| Curl Request |
|---|
curl --location 'https://docsmcp.googleapis.com/mcp/v1' \ --header 'content-type: application/json' \ --header 'accept: application/json, text/event-stream' \ --data '{ "method": "tools/list", "jsonrpc": "2.0", "id": 1 }' |