#rust #content_management #content_services #editor #flutter #flutter_app #flutter_apps #flutter_examples #flutter_ui #low_code #no_code #no_code_platform #notion #notion_alternative #rust_lang #rust_language #server #servers #wiki
https://github.com/AppFlowy-IO/appflowy
https://github.com/AppFlowy-IO/appflowy
GitHub
GitHub - AppFlowy-IO/AppFlowy: Bring projects, wikis, and teams together with AI. AppFlowy is the AI collaborative workspace where…
Bring projects, wikis, and teams together with AI. AppFlowy is the AI collaborative workspace where you achieve more without losing control of your data. The leading open source Notion alternative....
#other #ai #anthropic_claude #awesome #context #mcp #model_context_protocol #servers #tool_use #tools
Model Context Protocol (MCP) is an open standard that lets AI models securely connect to various data sources and tools, like files, databases, APIs, and cloud services, to get real-time, relevant information. This helps AI give more accurate, up-to-date, and context-aware answers, reducing repeated data processing and improving efficiency. MCP also supports automation of complex workflows and integration with many platforms, making AI more powerful and flexible. However, running MCP servers requires careful security measures to avoid risks like unauthorized code execution. Using MCP can save time, reduce costs, and enhance AI capabilities for tasks like chatbots, data analysis, and system control.
https://github.com/appcypher/awesome-mcp-servers
Model Context Protocol (MCP) is an open standard that lets AI models securely connect to various data sources and tools, like files, databases, APIs, and cloud services, to get real-time, relevant information. This helps AI give more accurate, up-to-date, and context-aware answers, reducing repeated data processing and improving efficiency. MCP also supports automation of complex workflows and integration with many platforms, making AI more powerful and flexible. However, running MCP servers requires careful security measures to avoid risks like unauthorized code execution. Using MCP can save time, reduce costs, and enhance AI capabilities for tasks like chatbots, data analysis, and system control.
https://github.com/appcypher/awesome-mcp-servers
GitHub
GitHub - appcypher/awesome-mcp-servers: Awesome MCP Servers - A curated list of Model Context Protocol servers
Awesome MCP Servers - A curated list of Model Context Protocol servers - appcypher/awesome-mcp-servers