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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
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  • 1
    Ghidra MCP

    Ghidra MCP

    Socket based MCP Server for Ghidra

    GhidraMCP is a Ghidra plugin implementing the Model Context Protocol, bridging Ghidra's reverse engineering capabilities with AI assistants to enhance binary analysis tasks. ​
    Downloads: 6 This Week
    Last Update:
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  • 2
    Wanaku

    Wanaku

    Wanaku MCP Router

    Wanaku is an MCP Router designed to connect AI-enabled applications using the Model Context Protocol. Built on top of Apache Camel and Quarkus, it offers unmatched connectivity, speed, and reliability for AI agents, facilitating seamless integration across various services and platforms. ​
    Downloads: 0 This Week
    Last Update:
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  • 3
    Quarkus MCP Server

    Quarkus MCP Server

    This extension enables developers to implement the MCP server

    The quarkus-mcp-server is a Quarkus extension that enables developers to implement Model Context Protocol (MCP) server features easily. It provides both declarative and programmatic APIs, simplifying the process of integrating MCP functionalities into Quarkus applications. This extension is part of the Quarkiverse, a hub for Quarkus extensions contributed by the community. ​
    Downloads: 3 This Week
    Last Update:
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  • 4
    Wren Engine

    Wren Engine

    The Semantic Engine for Model Context Protocol(MCP)

    Wren Engine is a semantic engine designed to empower Model Context Protocol (MCP) clients and AI agents by providing accurate, contextual, and governed access to business data. It serves as a bridge between large language models (LLMs) and enterprise systems, facilitating seamless integration and interaction. ​
    Downloads: 3 This Week
    Last Update:
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    Try Google Cloud Risk-Free With $300 in Credit

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