发现为 Google Gemini 构建的 127 个 MCP。
Enables interaction with a file system via HTTP requests, supporting file operations and content summarization using the Google Gemini API.
Convert over 140 file formats directly within your terminal using the Gemini CLI.
Facilitates conversational image generation and editing using Google's Gemini 2.5 Flash Image Preview through a Model Context Protocol server.
Integrates Google's Gemini model with Claude using the Model Context Protocol (MCP).
Demonstrates Model Context Protocol (MCP) integration with FastAPI and Gradio for AI model interaction.
Enables Claude Desktop to analyze PDF files using Google's Gemini AI models via API.
Generates and saves images using Google's Gemini API, optionally guided by input images.
Enables interaction with Google's Gemini AI models via a Model Context Protocol (MCP) server.
Provides an intelligent memory management system for AI applications, featuring fast local caching and advanced AI intelligence.
Provides a persistent Python kernel that optimizes script-based development for AI assistants, enabling variable retention across executions and a Jupyter-like command-line experience.
Manage and optimize context for AI agents across various platforms and formats.
Generates and edits images with Google Gemini AI, offering diverse aspect ratios, context image guidance, and watermark capabilities.
Integrates the Google Gemini CLI with AI assistants to enable powerful analysis of large files and codebases.
Integrates Gemini CLI with Claude Code to provide comprehensive, AI-powered codebase analysis and review capabilities.
Curates a collection of cutting-edge, production-ready AI solutions for enterprise productivity, document intelligence, workflow automation, and developer augmentation.
Empower creative workflows by integrating AI-powered image generation and content creation capabilities with Claude.
Sends emails to multiple recipients with optional CC and attachments via a lightweight server.
Integrates data catalog tasks, collections, and master data management into the Gemini CLI using natural language.
Generates context-aware categories and options for AI-powered creative thinking support using the Gemini API.
Analyzes food images to detect items, calculate calories and protein content, and answer nutrition-related questions using AI.
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