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JiwuChat for MCP

Jiwuchat: A Cross-Platform Instant Messaging Tool with Integrated AI Assistants

  • Free
  • 4.6
  • V v2.0.3

Jiwuchat: A Cross-Platform Instant Messaging Tool with Integrated AI Assistants

Jiwuchat, developed by Kiwi233333 for the mcp platform, is a free, lightweight, cross-platform instant messaging application. It combines core communication features with integrated AI assistants, designed for modern interactions. Built with Vue3 for its frontend and Tauri2 for its desktop runtime, Jiwuchat supports various operating systems including Windows, MacOS, Android, and Linux. Its backend, jiuwu-chat-core, offers Docker for easy deployment, enabling private and synchronized communication across multiple devices. The application aims to provide a versatile communication hub for individuals and small teams.

What does Jiwuchat connect to?

Jiwuchat connects to several external AI assistant services, including DeepSeek, Gemini, and Kimi, enhancing conversational capabilities. For its fundamental operations, Jiwuchat establishes a connection with its own backend service, jiuwu-chat-core. This core service manages essential functionalities such as real-time messaging, audio and video calls, and multi-device synchronization. The backend supports Docker for simplified deployment. While WebSocket is confirmed for real-time messaging, general API communication implicitly uses HTTP.

Core features and tools

Jiwuchat functions as a lightweight, cross-platform instant messaging application with integrated AI assistants. Its central capabilities include real-time messaging, audio/video calls, and multi-device synchronization, all powered by its jiuwu-chat-core backend. The application features an extension menu that integrates Jiwu Mall, YueDu Time, and Kiwi Blog functions. It also improves connections within the AI tool ecosystem through MCP application DeepLink, supporting tools like Cherry Studio and Cursor. Jiwuchat is built with Vue3 and Tauri2.

Who is it for?

Jiwuchat is designed for individuals or small teams seeking a private, self-hostable instant messaging solution. It caters to those who desire integrated AI capabilities within their communication platform. Users can benefit from its real-time messaging, audio/video calls, and multi-device synchronization features, alongside AI-assisted conversations. The self-deployment option via Docker for the jiuwu-chat-core backend offers control over data. This is not the right fit if your team requires advanced authentication protocols for external system integration.

How to get started

The server authenticates using a default username and password for self-deployed instances. WebSocket is used for its real-time messaging architecture.

Use cases

  • Real-time messaging, audio/video calls, and multi-device synchronization for private communication.
  • AI-assisted conversations through integrated AI assistants like DeepSeek, Gemini, and Kimi.
  • Self-hosted private communication by deploying the jiuwu-chat-core backend using Docker.

Jiwuchat offers a versatile, self-hostable instant messaging platform with integrated AI assistant capabilities. Its cross-platform nature and Docker-supported backend deployment make it accessible for private communication needs. The application brings together core messaging with AI tools like DeepSeek and Gemini, alongside internal extensions. It is well-suited for users prioritizing control over their communication environment and AI-enhanced interactions.

  • Pros

    • Cross-platform availability (Windows, MacOS, Android, Linux).
    • Integrates multiple external AI assistant services.
    • Supports self-hosting for private communication control.
    • Offers real-time messaging, audio/video calls, and sync.
  • Cons

    • Self-hosted instances rely on fixed default credentials.
    • External integrations lack advanced authentication protocols.
    • Does not expose callable tools for external systems.
    • Relies on external AI services for assistant functions.
Icon of program: JiwuChat

JiwuChat for MCP

  • Free
  • 4.6
  • V v2.0.3

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