Gemini Cli
G

Gemini Cli

Gemini Rust Suite is a Rust-based Google Gemini model interaction tool suite that provides a CLI interface, tool call protocol (MCP), persistent semantic memory, and other functions, supporting integration with external services.
2 points
9.0K

What are MCP servers?

MCP servers are external tool services that follow the Model Context Protocol. They extend the capabilities of Gemini AI, enabling it to perform practical tasks such as file operations, command execution, and memory storage.

How to use MCP servers?

After configuring and connecting to MCP servers through gemini-cli, simply describe your requirements in natural language, and Gemini will automatically determine when to call these tool services.

Use cases

When you need Gemini AI to interact with your local environment, perform automated tasks, or access persistent memory, MCP servers are the best choice.

Main features

Built-in servers
Out-of-the-box file system, command-line, and memory storage services without additional configuration
Automatic tool discovery
Gemini automatically identifies available MCP servers and their functions
Secure execution
All tool calls require user confirmation first to ensure operation safety
Advantages
Extend AI capabilities without writing code
Standardized protocol supports integration of multiple tools
Interactive confirmation mechanism ensures system security
Limitations
Manual configuration is required for non-built-in servers
Some advanced features require technical knowledge
Execution speed is affected by network and tool response time

How to use

Install built-in servers
Run the installation script to automatically configure built-in MCP servers
Start the MCP host daemon
Use the mcpd command to start the service (for Zsh users only)
Interact with Gemini
Use integrated tool functions through natural language commands

Usage examples

View file content
Let Gemini read and analyze the content of local files
Execute system commands
Execute system commands through natural language
Memory storage and retrieval
Save and recall important information

Frequently Asked Questions

Are MCP servers secure?
How to add a custom MCP server?
Why did my tool call fail?

Related resources

Official MCP protocol documentation
Detailed protocol specifications and technical implementation details
Example MCP server repository
Examples of MCP server implementations in various languages
MCP usage tutorial video
Step-by-step guide on configuring and using MCP servers

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
6.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
5.4K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.5K
4 points
P
Paperbanana
Python
6.8K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.6K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.7K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.7K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
26.0K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.6K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
36.0K
5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.8K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.4K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.2K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
97.6K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase