GeminiCLIAgentMCP
MCP empowering LLM Agents (Claude Code, Codex CLI etc) to integrate with Gemini CLI for it's massive context windows
Install / Use
claude mcp add LeeSinLiang -- npx -y github:LeeSinLiang/GeminiCLIAgentMCPIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Our assessment of GeminiCLIAgentMCP
GeminiCLIAgentMCP scores 56/100 on our quality scale, 904th of 938 AI & Machine Learning skills we index.
Its MCP Server is 1.8 KB long, well organised into 10 sections with 1 code example: moderately detailed.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 12 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
- Our last check on 2026-09-14 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
GeminiCLIAgentMCP compared with similar skills
All 4 of these similar skills score higher than GeminiCLIAgentMCP; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| GeminiCLIAgentMCP (this skill)by LeeSinLiang | 56 | 3 | 12mo ago | MCP Server |
| claude-memby thedotmack | 100 | 102.9k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 101.9k | today | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 88.1k | 2d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.7k | today | CLAUDE.md |
Frequently asked questions
- How do I install GeminiCLIAgentMCP?
- Run
claude mcp add LeeSinLiang -- npx -y github:LeeSinLiang/GeminiCLIAgentMCP. The install tabs above show the steps for each supported agent. - Which AI agents does GeminiCLIAgentMCP work with?
- It is written for Claude Code, Claude Desktop, Gemini CLI and OpenAI Codex, as a MCP Server file. Other agents that read the same format can often use it too.
- Is GeminiCLIAgentMCP safe to use?
- It is MIT-licensed and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is GeminiCLIAgentMCP still maintained?
- The repository was last updated about 12 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
Skill content
View source on GitHubGemini CLI Agent MCP Server
This project is a Python-based FastMCP server that provides a Model Context Protocol (MCP) interface to the Gemini CLI and other development tools. It allows AI agents and other systems to programmatically call the Gemini model and perform various development tasks.
Key Technologies
- Python
- FastMCP
Features
The server exposes a set of tools to interact with the Gemini CLI and perform development tasks:
call_gemini: Calls the Gemini CLI with a given prompt. The Gemini CLI itself handles @-mentions of files and directories.create_github_issue: Creates a new issue in a GitHub repository.create_github_pr: Creates a new pull request in a GitHub repository.summarize_docs: Summarizes the content of a list of documentation files.generate_docstrings: Generates docstrings for functions or classes in a given file.analyze_dependencies: Analyzes a dependency file (requirements.txtorpackage.json) and provides a summary of each dependency.lint_code: Lints a Python or JavaScript file and returns a report of issues.generate_unit_tests: Generates unit tests for a given function or class in a file.
Getting Started
Prerequisites
- Python 3.x
- pip
Installation
- Install the dependencies:
pip install -r requirements.txt
Running the Server
python src/app.py
The server will start on 0.0.0.0:8000 by default.
Development
Conventions
- Code Style: This project uses
pylintfor Python linting. - Dependencies: Project dependencies are managed in
requirements.txt.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Related Skills
claude-mem
102.9kPersistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
Agent-Reach
101.9kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Understand-Anything
88.1kGraphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
headroom
77.7kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.