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Gemini Example

byjrmlhermitte
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Herramientas para Desarrolladores
Aprendizaje y Documentación
Desarrollo de API

Provides a foundational example for integrating custom tools with the Gemini CLI using the Model Context Protocol (MCP).

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Serves as a practical demonstration for developers looking to integrate custom functionality with the Gemini conversational AI environment. This example project showcases the fundamental steps of building a Model Context Protocol (MCP) server in Python, exposing a simple 'greet' tool. It further guides users through configuring the Gemini CLI to seamlessly discover and invoke this custom tool, illustrating how to extend Gemini's capabilities with external services and functions.

Características Principales

  • Demonstrates basic Model Context Protocol (MCP) server implementation.
  • Utilizes the `fastmcp` Python library for quick setup.
  • Illustrates `stdio` communication for MCP server interaction.
  • Provides clear steps for integrating custom tools with Gemini CLI.
  • Showcases defining and invoking custom tools within the Gemini environment.
  • 0 GitHub stars

Casos de Uso

  • Integrating external functionalities and APIs with the Gemini CLI.
  • Learning the foundational concepts of the Model Context Protocol (MCP).
  • Developing custom tools and services callable by AI models via MCP.