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1

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: 21 This Week

Last Update: 2026-06-04
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2

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: 8 This Week

Last Update: 2026-03-23
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3

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: 8 This Week

Last Update: 2025-09-12
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4

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: 1 This Week

Last Update: 2026-07-01
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Train ML Models With SQL You Already Know
BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.

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5

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: 0 This Week

Last Update: 2026-04-30
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