Gemini Agent
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Empowers LLM agents to integrate and utilize the Gemini CLI and other developer tools via a standardized JSON-RPC interface.
About
Gemini Agent acts as a Model Context Protocol (MCP) server, establishing a crucial bridge between advanced AI agents—such as Claude Code and Codex CLI—and the powerful Gemini CLI. It provides a standardized JSON-RPC endpoint, allowing these agents to seamlessly invoke the Gemini model and a suite of integrated developer tools. This setup streamlines complex workflows, enabling AI agents to interact with generative AI capabilities and perform tasks like code linting, GitHub operations, and document summarization in a secure and structured environment.
Key Features
- Provides a Model Context Protocol (MCP) interface to the Gemini CLI.
- Exposes a standardized JSON-RPC endpoint for calling various tools and the Gemini model.
- Includes security measures with file path validation to prevent unauthorized access.
- Offers a web browsable API for easy development and testing of JSON-RPC calls.
- Integrates with GitHub for issue and pull request creation, and provides code linting capabilities.
- 0 GitHub stars
Use Cases
- Connecting AI agents (e.g., Claude Code, Codex CLI) to the Gemini model for generative tasks.
- Automating developer workflows such as code linting, documentation generation, and unit test creation through AI agents.
- Enabling LLM-powered systems to interact with GitHub for issue tracking and pull request management.
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