Google Cloud Learning - Context7 MCP Server

Context7 provides up-to-date documentation for LLMs and AI code editors. If you are looking to provide the context to the LLM with the latest documentation for the framework of your choice, the Context7 MCP server is a good one to configure.

Make sure that you do have your library listed at the Context7 home page.

Here is the MCP Server that you need to add in the settings.json file.

"context7": {

      "httpUrl": "https://mcp.context7.com/mcp"

    }

Once the MCP Server is configured and Gemini CLI loaded successfully with it, you should be able to view the Context7 tools as shown below:

You can now be specific in your prompt and ask Gemini CLI to use Context7 for the latest documentation, while generating your application or code snippet, using a specific XYZ framework.

Here is an example prompt, where I want to write an Agent using the Agent Development Kit (ADK) from Google. I am specifying in my prompt to look up the documentation for the same via the Context7 MCP Server.

I am working on coding an Agent using the Agent Development Kit (ADK) from Google. I would like to know how to create the LLMAgent in Python. Use Context7 for the latest documentation on ADK and specifically use /google/adk-python, /google/adk-docs and adk.wiki 

Google Slides MCP Server

The Github project at https://github.com/matteoantoci/google-slides-mcp provides a MCP server for interacting with the Google Slides API. It allows you to create, read, and modify Google Slides presentations programmatically.

The steps to configure the MCP server are given in the project. You will need to have a Node.js environment where you build out the server, configure a Google Cloud Project and OAuth 2.0 tokens and then configure the MCP Server in the settings.json file.

Once setup, you can run prompts like:

Extract the latest information from "web_url", summarize it into key points and create a presentation named "my_presentation".

Give it a try!