How do I secure my MCP server connections?

You can use the 'trust' setting to require manual confirmation for tool calls, implement rate limits, and use 'includeTools' or 'excludeTools' to restrict exactly what the AI can execute.

Which programming languages are supported for building servers?

While the skill can interface with any command-line executable, it provides specific implementation patterns for Python, Node.js, and Java-based MCP servers.

What is the Model Context Protocol (MCP)?

MCP is an open standard that allows AI models like Gemini to connect to external servers that provide specialized tools, database access, and custom API integrations.

How does this skill work with YOLO mode?

When integrated with YOLO mode, Gemini can autonomously execute sequences of tool calls across multiple MCP servers to perform complex tasks like data synchronization or automated reporting.

Can I run MCP servers using Docker?

Yes, the gemini-mcp skill fully supports adding and managing MCP servers running inside Docker containers, facilitating easier environment isolation.

Gemini MCP Manager

Name: Gemini MCP Manager
Author: adaptationio

byadaptationio

API Development

Manages Model Context Protocol (MCP) servers to extend the Gemini CLI with custom tools, databases, and enterprise integrations.

About

The gemini-mcp skill provides a comprehensive framework for managing and integrating Model Context Protocol (MCP) servers within the Gemini CLI environment. It allows developers to bridge AI capabilities with external data sources and services, such as SQL databases, REST APIs, and custom business logic. By supporting various server environments—including Python, Node.js, and Docker—and offering advanced security features like rate limiting, tool-level permissions, and environment variable management, this skill enables the creation of sophisticated, automated AI workflows and enterprise-grade agents that can interact safely with production infrastructure.

Key Features

Interactive and manual configuration for adding, testing, and listing MCP servers.
Advanced integration with YOLO mode for hands-free database and API automation.
Robust configuration management with support for custom environment variables and timeouts.
Support for multi-language server implementations including Python, Node.js, and Docker.
Granular security controls including tool-level inclusion/exclusion and domain whitelisting.
0 GitHub stars

Use Cases

Orchestrating API workflows between services like Stripe and internal CRM systems.
Automating complex database migrations and multi-table reporting using natural language commands.
Creating secure enterprise AI agents with restricted access to specific internal tools and rate-limited API calls.

About

Key Features

Interactive and manual configuration for adding, testing, and listing MCP servers.
Advanced integration with YOLO mode for hands-free database and API automation.
Robust configuration management with support for custom environment variables and timeouts.
Support for multi-language server implementations including Python, Node.js, and Docker.
Granular security controls including tool-level inclusion/exclusion and domain whitelisting.
0 GitHub stars

Use Cases

Orchestrating API workflows between services like Stripe and internal CRM systems.
Automating complex database migrations and multi-table reporting using natural language commands.
Creating secure enterprise AI agents with restricted access to specific internal tools and rate-limited API calls.