MyPrototypeWhat 41191f6132
feat: mcp auto server (#3996)
* feat: add configuration file management to MCPService

- Introduced methods to ensure the existence of a configuration file, load configurations from it, and save server configurations.
- Updated the MCPService class to handle server configurations more effectively, improving initialization and error handling.
- Added dependency on chokidar for file system watching.

* feat: enhance MCPService configuration handling

- Improved configuration management by adding compatibility for both old and new server formats.
- Updated methods to ensure configuration file existence, load configurations, and save server data more effectively.
- Refined server initialization logic to handle updates and notifications to Redux more efficiently.
- Removed unnecessary waiting for server data from Redux during initialization.

* feat: enhance MCPService default configuration handling

- Added logic to create a default configuration if none exists, improving the initialization process.
- Implemented migration of server configurations from Redux to file, ensuring data consistency.
- Updated methods to handle nested server structures and improved error handling during server updates.

* refactor: clean up MCPService by removing redundant console logs and unused updateServerInRedux method

- Eliminated unnecessary console log statements to improve code readability.
- Removed the unused updateServerInRedux method, streamlining the MCPService class.
- Maintained existing functionality while enhancing code clarity.
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kangfenmao%2Fcherry-studio | Trendshift Cherry Studio - AI Chatbots, AI Desktop Client | Product Hunt

🍒 Cherry Studio

Cherry Studio is a desktop client that supports for multiple LLM providers, available on Windows, Mac and Linux.

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📖 Guide

https://docs.cherry-ai.com

🌠 Screenshot

🌟 Key Features

  1. Diverse LLM Provider Support:
  • ☁️ Major LLM Cloud Services: OpenAI, Gemini, Anthropic, and more
  • 🔗 AI Web Service Integration: Claude, Peplexity, Poe, and others
  • 💻 Local Model Support with Ollama, LM Studio
  1. AI Assistants & Conversations:
  • 📚 300+ Pre-configured AI Assistants
  • 🤖 Custom Assistant Creation
  • 💬 Multi-model Simultaneous Conversations
  1. Document & Data Processing:
  • 📄 Support for Text, Images, Office, PDF, and more
  • ☁️ WebDAV File Management and Backup
  • 📊 Mermaid Chart Visualization
  • 💻 Code Syntax Highlighting
  1. Practical Tools Integration:
  • 🔍 Global Search Functionality
  • 📝 Topic Management System
  • 🔤 AI-powered Translation
  • 🎯 Drag-and-drop Sorting
  • 🔌 Mini Program Support
  • ⚙️ MCP(Model Context Protocol) Server
  1. Enhanced User Experience:
  • 🖥️ Cross-platform Support for Windows, Mac, and Linux
  • 📦 Ready to Use, No Environment Setup Required
  • 🎨 Light/Dark Themes and Transparent Window
  • 📝 Complete Markdown Rendering
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📝 TODO

  • Quick popup (read clipboard, quick question, explain, translate, summarize)
  • Comparison of multi-model answers
  • Support login using SSO provided by service providers
  • All models support networking
  • Launch of the first official version
  • Bug fixes and improvements (In progress...)
  • Plugin functionality (JavaScript)
  • Browser extension (highlight text to translate, summarize, add to knowledge base)
  • iOS & Android client
  • AI notes
  • Voice input and output (AI call)
  • Data backup supports custom backup content

🌈 Theme

Welcome PR for more themes

🖥️ Develop

Refer to the development documentation

🤝 Contributing

We welcome contributions to Cherry Studio! Here are some ways you can contribute:

  1. Contribute Code: Develop new features or optimize existing code.
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  5. Write Documentation: Improve user manuals and guides.
  6. Community Engagement: Join discussions and help users.
  7. Promote Usage: Spread the word about Cherry Studio.

Getting Started

  1. Fork the Repository: Fork and clone it to your local machine.
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  3. Submit Changes: Commit and push your changes.
  4. Open a Pull Request: Describe your changes and reasons.

For more detailed guidelines, please refer to our Contributing Guide.

Thank you for your support and contributions!

  • one-api:LLM API management and distribution system, supporting mainstream models like OpenAI, Azure, and Anthropic. Features unified API interface, suitable for key management and secondary distribution.

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