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Showing 9 open source projects for "management system in java"

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  • 1
    Zettelkasten MCP

    Zettelkasten MCP

    Implements the Zettelkasten knowledge management methodology

    The Zettelkasten MCP Server is a Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology. It allows users to create, link, and manage notes, facilitating a structured and interconnected note-taking system. ​
    Downloads: 6 This Week
    Last Update:
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  • 2
    MCP Linear

    MCP Linear

    MCP server that enables AI assistants to interact with Linear project

    The MCP Linear server is a Model Context Protocol (MCP) implementation that enables AI assistants to interact with the Linear project management system through natural language. It allows users to retrieve, create, and update issues, projects, and teams within Linear, facilitating seamless integration between AI models and project management workflows. ​
    Downloads: 5 This Week
    Last Update:
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  • 3
    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: 7 This Week
    Last Update:
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  • 4
    ModelContextProtocol.NET

    ModelContextProtocol.NET

    A C# SDK implementation of the Model Context Protocol (MCP)

    ...The SDK is compatible with Native AOT, enhancing performance and deployment flexibility. A calculator demo implementation is included to demonstrate its capabilities. Features under development include WebSocket support, resource management, and a prompt system. ​
    Downloads: 0 This Week
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  • 5
    MCP Grafana

    MCP Grafana

    MCP server for Grafana

    The Grafana MCP Server is a Model Context Protocol (MCP) server designed to provide access to Grafana instances and their surrounding ecosystems. It enables seamless integration with Grafana's visualization and monitoring capabilities. ​
    Downloads: 10 This Week
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  • 6
    Codex MCP Server

    Codex MCP Server

    MCP server wrapper for OpenAI Codex CLI

    Codex MCP Server is an open-source integration tool that allows AI development environments to access the capabilities of the OpenAI Codex command-line interface through the Model Context Protocol. The project acts as a bridge between AI assistants such as Claude Code and the Codex CLI, enabling those assistants to perform advanced coding operations using Codex as a backend engine. Through this architecture, developers can request tasks such as code explanation, refactoring, or analysis...
    Downloads: 15 This Week
    Last Update:
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  • 7
    Model Context Protocol (MCP) Servers

    Model Context Protocol (MCP) Servers

    Model Context Protocol Servers

    The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
    Downloads: 0 This Week
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  • 8
    Claude-Flow

    Claude-Flow

    The leading agent orchestration platform for Claude

    ...The platform supports both quick swarm tasks and persistent multi-agent sessions known as hives, facilitating distributed AI collaboration with persistent contextual memory. At its core, Claude-Flow integrates Dynamic Agent Architecture (DAA) for self-organizing agent management, neural pattern recognition accelerated by WebAssembly SIMD, and a SQLite-based memory system for context retention and knowledge persistence across tasks. It automates development workflows via pre- and post-operation hooks, providing seamless coordination, code formatting, validation, and performance optimization.
    Downloads: 8 This Week
    Last Update:
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  • 9
    MaxKB

    MaxKB

    Open-source platform for building enterprise-grade agents

    ...It focuses on practical deployments such as customer support, internal knowledge bases, research assistants, and education, bundling tools for data ingestion, chunking, embedding, retrieval, and answer synthesis. The system exposes flexible tool-use (including MCP), supports multi-model backends, and provides dashboards for dataset management and evaluation. It’s backed by an active org that also builds adjacent ops tooling, and there’s a dedicated documentation repo for configuration and contribution. Community posts describe “self-host your ChatGPT-style assistant” positioning, with integrations and workflows to move from demo to production. ...
    Downloads: 6 This Week
    Last Update:
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