Gemini CLI Agent
0
Empowers large language model agents to integrate with Gemini CLI for its expansive context windows and programmatically perform various development tasks.
About
This project provides a Python-based FastMCP server that serves as a Model Context Protocol (MCP) interface, enabling AI agents like Claude Code or Codex CLI to seamlessly integrate with the Gemini CLI. By exposing a suite of development tools, it allows agents to leverage Gemini's massive context windows and execute a wide range of development operations programmatically, from code generation and analysis to GitHub interactions, streamlining workflows for advanced AI-driven development.
Key Features
- Programmatically call the Gemini CLI with given prompts, handling file/directory mentions.
- 0 GitHub stars
- Automate GitHub interactions, including creating issues and pull requests.
- Analyze project dependencies and provide a concise summary for each.
- Generate accurate docstrings for functions or classes within code files.
- Summarize content from documentation files efficiently.
Use Cases
- Allow LLM agents to perform code generation and refactoring by interacting with Gemini CLI.
- Automate software development workflows, from issue creation to pull request generation, using AI agents.
- Enable AI assistants to understand and summarize project documentation and dependencies quickly.
Sponsored