Analyze codebases to answer questions about structure, logic, and improvements. Use Repomix and Gemini 2.5 Pro for detailed insights into your code directory or pre-packed files.
MIT
306,633 tools. Last updated 2026-07-25 16:52
"Information about the Gemini 2.5 Pro" matching MCP tools:
- Route tasks to Google's Gemini models via local CLI agent. Uses your Google One AI Pro subscription as a fallback when Claude limits are reached, or for tasks benefiting from Gemini's capabilities.MIT
- Retrieve reference information about supported parameters, capabilities, pricing, and best practices for Seedream V4 and Nano Banana Pro APIs.MIT
- Sets the default Gemini model for image generation and editing, choosing between high-quality or fast/cheap model tiers.MIT
- Provides answers to natural language queries using Vertex AI's internal knowledge, without web search. Input a query string to extract precise information directly from the model.MIT
- Generate images using Google Gemini and save to a specified file path. Automatically resolves filename conflicts by appending a numeric suffix.MIT
Matching MCP Servers
- AlicenseAqualityDmaintenanceEnables conversational image generation and editing with Google's Gemini 2.5 Flash Image Preview. Supports text-to-image generation, natural language image editing, multi-image composition, and style transfer with optional file saving.Last updated433MIT
- -license-qualityCmaintenanceAn MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.Last updated
Matching MCP Connectors
Gemini Exchange keyless public market: symbols, ticker, candles, book, trades, price feed.
Exact lease finance calculations: equipment structuring, solvers, amortization, auto lease & loan
- Retrieve the verified Gemini Models documentation for details on model variants, capabilities, versioning, and context window sizes.MIT
- Generates cached content resources for compatible Gemini models to reduce latency and costs for frequently reused prompts. Returns metadata detailing the created cache for efficient reuse.MIT
- Generate images from text prompts using Gemini AI models, saving them to specified file paths with configurable aspect ratios and quality options.MIT
- Configure the Gemini AI model for image generation sessions, choosing between 'flash' for speed or 'pro' for enhanced quality outputs.MIT
- Analyze or transcribe video files (mp4, mpeg, mov, webm) from local paths, URLs, or base64 data using multimodal models. Default: google/gemini-2.5-flash.Apache 2.0
- Set the default Gemini model for generating app images, persisting across sessions. Choose faster or higher quality models.MIT
- Generate an image from a text prompt using Google Gemini or Imagen models. Supports multiple models; retry with a different model if quota limit is reached.MIT
- Generate detailed explanations for software-related queries by synthesizing insights from official documentation, using Vertex AI's Gemini model and web search grounding for accuracy and context.MIT
- Generate expressive speech and narration from text with customizable tone and style. Create character dialogue, scripts, and stories using Gemini 2.5 Native Audio.MIT
- Analyze public YouTube videos by summarizing content, transcribing speech, and answering questions using Gemini AI.MIT
- Finds opportunities to replace expensive models like Claude Sonnet 4 with cheaper Gemini 2.5 Flash for extraction or GPT-4o with GPT-4o-mini for short chats, providing 30-day cost savings.MIT
- Convert a prompt and field schema into validated, typed JSON via Instructor over Gemini 2.5 Flash. Extract structured entities from text with guaranteed schema compliance.MIT
- Answer natural language queries by combining Vertex AI's Gemini model with real-time Google Search results, delivering accurate and up-to-date information on demand.MIT
- Search and analyze web information using Google's Gemini AI with cited sources for research, troubleshooting, and topic exploration.MIT