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    Gemini 3 and 200+ AI Models on One Platform

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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
    Solon

    Solon

    Java enterprise application development framework

    Solon is a full-scenario Java enterprise application framework that positions itself as a lean, high-performance alternative to heavy stacks. It advertises large concurrency gains, lower memory use, much faster startup, and dramatically smaller packages while remaining compatible from Java 8 through Java 24. The framework focuses on restrained APIs and an open ecosystem, with modules that cover web, data, cloud, and microservice patterns.
    Downloads: 0 This Week
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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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    Forever Free Full-Stack Observability | Grafana Cloud

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  • 5
    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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  • 6
    Azure CLI MCP

    Azure CLI MCP

    Talk with Azure using MCP

    An MCP server that enables AI assistants to interact with Microsoft Azure via the Azure CLI, allowing tasks such as listing resources, checking configurations, fixing issues, and creating new resources through conversational commands. ​
    Downloads: 0 This Week
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