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"Improving the Thinking Capabilities of My Gemini AI" matching MCP servers:

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    A Model Context Protocol (MCP) server for managing investment portfolios, enabling transaction tracking, position management, alerts, and daily snapshots with Google Drive sync.
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    Enables AI assistants to generate images using Cloudflare Workers AI models directly through the Model Context Protocol. It supports various models like Flux and Stable Diffusion, providing seamless image generation and storage via Cloudflare R2.
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    Apache 2.0
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    An implementation of the Model Context Protocol that allows AI models to interact with 360 AI Cloud Drive, providing comprehensive file management capabilities including uploading, downloading, searching, and sharing files.
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    Enables AI models to interact with Akave's S3-compatible storage by providing tools for managing storage buckets and objects through standardized Model Context Protocol (MCP).
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    Reads top-level sessions from Claude Code, Codex CLI, and Grok Build, filters and anonymizes them, then writes snapshots to Google Drive for mixed semantic search, portrait retrieval, and status queries.
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    Apache 2.0
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    Enables seamless integration with WhatsApp through the Model Context Protocol, featuring multi-user support and Supabase cloud storage for persistent message history and media. Users can send messages, search chat records, and manage contacts across platforms like Claude Desktop, Cursor, and OpenClaw.
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    MCP server for the Rclone RC API that enables AI assistants to manage cloud storage remotes, copy/sync files, and list directories through natural language.
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    MIT
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    An MCP server that generates high-quality blog cover images using Google Gemini AI and automatically uploads them to Qiniu Cloud storage. It provides automated WebP conversion and compression to deliver optimized CDN URLs for generated images.
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    MIT
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    Provides LLMs with tools to interact with the MASV API. MASV is an easy-to-use and ultra-reliable managed file transfer service designed for teams of all sizes. It allows users to send and receive massive files without size limits, while ensuring data integrity and security through its robust cloud infrastructure that supports cloud, on-prem, and hybrid workflows. Learn more https://massive.io/
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    MIT
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    MCP server for the Rclone RC API. Gives AI assistants the ability to manage cloud storage remotes, copy/sync files, list directories, and more — all through natural language.
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    MIT
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    MCP Server for Eyevinn Open Source Cloud API, enabling creation of solutions based on open web services. Web services based on open source where the creator gets a share of the revenue the platform generates.
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    MIT
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    Enables AI assistants to store and retrieve data using the Walrus decentralized storage network. Supports blob storage operations, retrieval by ID, and blockchain-verified availability through the Sui network.
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