Google Gemini is Google's generative AI model and conversational assistant that combines text, code, images, audio, and video to deliver multimodal AI capabilities powered by Google's advanced large language models.
Why this server?
Provides image generation capabilities using Google's Gemini AI models with customizable parameters like style and temperature
Why this server?
Allows interaction with the Google Gemini CLI, enabling large-context analysis of files and codebases, answering general knowledge questions, and providing a sandbox environment for safely executing code.
Why this server?
Enables interaction with Google Gemini models including Gemini Pro, Gemini 1.5 Pro, and Gemini 1.5 Flash through the ask_gemini tool with customizable parameters.
Why this server?
Leverages Gemini 2.5 Pro's 1M token context window and code execution capabilities for distributed system debugging, long-trace analysis, performance modeling, and hypothesis testing of code behavior.
Why this server?
Provides specialized tools for interacting with Google's Gemini AI models, featuring intelligent model selection based on task type, advanced file handling capabilities, and optimized prompts for different use cases such as search, reasoning, code analysis, and file operations.
Why this server?
Integrates with Google's Gemini model (specifically Gemini 2.0 Flash) through direct API calls to generate text with configurable parameters while maintaining conversation context.
Why this server?
Provides access to Gemini models for text generation, chat completion, and model listing with support for various Gemini model variants
Why this server?
Enables text-to-image generation and image transformation using Google's Gemini AI model, supporting high-resolution image creation from text prompts and modification of existing images based on textual descriptions.
Why this server?
Integrates with Google's Gemini Pro model to provide MCP services
Why this server?
Provides tools for image, audio, and video recognition using Google's Gemini AI models, allowing analysis and description of images, transcription of audio, and description of video content.
Why this server?
Leverages the Gemini Vision API to process and analyze YouTube video content, with support for multiple Gemini models that can be configured via environment variables.
Why this server?
Uses the Gemini 2.0 API to generate responses based on search results and provide the latest information
Why this server?
Compatible with Google Gemini models through MCP clients, enabling natural language control of connected hardware.
Why this server?
Integrates with Google Gemini AI models to provide code generation capabilities, with configurable model selection for agent and codegen functions.
Why this server?
Enables access to Google Gemini models including Gemini 2.5 Pro, allowing prompt processing through a standardized interface.
Why this server?
Uses Google Gemini models (Flash and Pro) to power automated research capabilities, with configurable effort levels for research depth
Why this server?
Supports Google Gemini as an LLM provider for repository analysis and tutorial generation.
Why this server?
Enables sending prompts and files to Gemini 2.5 Pro with support for large context (up to 1M tokens). Offers two main tools: 'second-opinion' for getting model responses on file content, and 'expert-review' for receiving code change suggestions formatted as SEARCH/REPLACE blocks.
Why this server?
The MCP server was fully generated by Google Gemini, as acknowledged in the README.
Why this server?
Allows Google Gemini AI to exchange messages with other AI assistants through both natural language commands and direct Python script execution.
Why this server?
Leverages Google Gemini's large context window to perform comprehensive code analysis, security audits, and codebase exploration
Why this server?
Support for Google Gemini AI models to power agents that interact with and monitor the Starknet blockchain.
Why this server?
Provides access to Google Gemini 2.5 Pro models with real-time web search capabilities for investigation and research
Why this server?
Incorporates Google Gemini's AI capabilities for project management assistance and task analysis.
Why this server?
Supports Google Gemini models for API generation, with a free tier option for development and testing purposes.
Why this server?
Supports implicit prompt caching by structuring prompts with cacheable ConPort content at the beginning, allowing Google Gemini to automatically handle caching for reduced token costs and latency.
Why this server?
Leverages the Google Gemini API (gemini-2.5-pro-preview-03-25) for text generation in a conversational AI 'waifu' character, with request queuing for handling concurrent requests asynchronously.
Why this server?
Leverages Gemini's AI capabilities for intelligent code analysis, suggestions, automated documentation generation, code review assistance, bug detection, and architecture recommendations
Why this server?
Enables asking questions to Gemini, getting code reviews, and brainstorming ideas through tools like ask_gemini, gemini_code_review, and gemini_brainstorm
Why this server?
Integrates with Google Gemini API to translate natural language user queries into structured tool calls. The LLM analyzes user intent and generates appropriate function calls to tools exposed by the MCP server.
Why this server?
Utilizes Google's Gemini models (Gemini 2.5 Pro, Gemini 2.5 Flash) to conduct code reviews when provided with a Google API key
Why this server?
Enables image generation and modification from text prompts using Google's Gemini models
Why this server?
Provides intelligent model selection between Gemini 2.0 Flash, Flash-Lite, and Flash Thinking models for different tasks, with file handling and multimodal capabilities.
Why this server?
Supports text generation through Google Gemini models via Pollinations.ai's API service
Why this server?
Integrates with Google Gemini API to utilize its AI models for task management and development assistance
Why this server?
Leverages Gemini's large token context capabilities (1M+ tokens) for extensive context analysis
Why this server?
Uses Gemini 2.0 Flash's 1M input window internally to analyze codebases and generate context based on user queries
Why this server?
Powers the AI reasoning capabilities using Gemini 1.5 Flash and Pro models for the conversational interface
Why this server?
Allows interaction with Google's Gemini AI through the Gemini CLI tool, supporting various query options including model selection, sandbox mode, debug mode, and file context inclusion.
Why this server?
Provides LLM integration for AI orchestration workflows, supporting tool calling, conversation management, and processing natural language queries for business analytics
Why this server?
Enables JSON translation using Google Gemini AI models with various options including gemini-2.0-flash-lite, gemini-2.5-flash, and gemini-pro.
Why this server?
Integrates with Google Gemini as a compatible coding client that can connect to the MCP server for AI-assisted development tasks.
Why this server?
Integrates with Google Gemini LLM to provide AI capabilities for applications, including knowledge base access and flexible model interaction through a Model Control Protocol server framework.
Why this server?
Enables access to Google Gemini models including Gemini 2.5 Flash and Pro, with support for 'Thought summaries', web search tools, and citation functionality through Google Gen AI SDK for TypeScript.
Why this server?
Enables switching to Google Gemini as an LLM provider for executing logic primitives and cognitive operations through dynamic LLM configuration.
Why this server?
Leverages Google Gemini API to generate high-quality images based on text prompts through the Model Control Protocol, enabling photorealistic image creation with detailed control over composition and style.
Why this server?
Integrates with Google Gemini API to convert raw news article data into formatted Markdown digests
Why this server?
Integrates with Google Gemini API for processing mathematical queries and generating responses that can be visualized in Keynote presentations.
Why this server?
Implements a bridge to Google Gemini's API, enabling text generation with gemini-2.0-flash model, image generation/analysis, and multimodal content processing
Why this server?
Provides access to Google Gemini 2.5 Pro Experimental model for content generation with customizable parameters like temperature and token limits
Why this server?
Uses Gemini Flash 2.0 to generate code summaries with configurable detail levels and length constraints.
Why this server?
Uses Gemini AI to generate concise video summaries and power natural language queries about video content.
Why this server?
Integrates with Google Gemini API to enable context-aware conversations with the language model, allowing the system to maintain conversation history across multiple requests.
Why this server?
Generates AI images from text descriptions using Google Gemini API, with support for the gemini-2.0-flash-exp-image-generation model to create multi-view images for 3D reconstruction