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securityA
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qualityA server implementation that enables natural language interactions with UniFi network devices by wrapping the UniFi Network API for AI agents like Goose and Claude.
Last updated -
Python
MIT License
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Why this server?
This server enables natural language interactions with UniFi network devices and is designed to work with AI agents like Goose.
Why this server?
This server provides tools for managing calendars, tracking tasks, handling emails, and searching the web, which are all useful for productivity. It is a versatile option for Goose AI.
Why this server?
MCP Server provides a simpler API to interact with the Model Context Protocol by allowing users to define custom tools and services to streamline workflows and processes, which makes it well-suited for custom productivity features in Goose AI.
Why this server?
FastMCP is a comprehensive MCP server allowing secure and standardized data and functionality exposure to LLM applications, offering resources, tools, and prompt management for efficient LLM interactions. It can enhance Goose AI's functionality
Why this server?
Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test productivity features.
Why this server?
An AI-powered automation tool development platform that provides a modular architecture with tool hot-reloading, enterprise-grade integration capabilities, and real-time updates with zero-downtime deployment, useful for developing custom automation workflows in Goose AI.
Why this server?
A lightweight MCP server that provides a unified interface to various LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama which can be used with Goose AI.
Why this server?
A server that enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages, which can be useful in implementing productivity features.
Why this server?
A Model Context Protocol server that helps students manage academic workflows by integrating with Canvas and Gradescope to fetch deadlines, download course materials, and sync with macOS Calendar or Reminders, which can help with productivity features.
Why this server?
A starter template for building Model Context Protocol (MCP) servers, enabling developers to create and add custom tools that can be integrated with Claude Desktop, allowing custom development of productivity features.