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Connecting Elgato Stream Deck Software for Custom Automations

  • Why this server?

    Facilitates building and deploying AI tools and prompts, focusing on developer experience, which could be useful for creating custom Stream Deck automations.

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    A TypeScript implementation of a Model Context Protocol server that provides a frictionless framework for developers to build and deploy AI tools and prompts, focusing on developer experience with zero boilerplate and automatic tool registration.
    6
    TypeScript
    MIT License
  • Why this server?

    Provides an enhanced tool registry for managing and documenting AI tools, potentially including those for Stream Deck integration.

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    A production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs).
    13
    Python
  • Why this server?

    Simplifies the implementation of the Model Context Protocol, offering a user-friendly API to create custom tools for automating Stream Deck functions.

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    MCP Server simplifies the implementation of the Model Context Protocol by providing a user-friendly API to create custom tools and manage server workflows efficiently.
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    3
    TypeScript
    MIT License
  • Why this server?

    Provides standardized tool interfaces that can be customized to create automations that are triggered by Elgato Stream Deck.

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    A custom Model Context Protocol server that gives Claude Desktop and other LLMs access to file system operations and command execution capabilities through standardized tool interfaces.
    22
    Python
    Apache 2.0
    • Apple
    • Linux
  • Why this server?

    Offers a template for developing Model Context Protocol servers, allowing developers to build custom AI tools for Stream Deck.

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    A TypeScript-based template for developing Model Context Protocol servers with features like dependency injection and service-based architecture, facilitating the creation and integration of custom data processing tools.
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    2
    TypeScript
  • Why this server?

    Offers a template for creating custom tools that can be deployed and used with Elgato Stream Deck.

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    A template for creating custom tools for Cursor IDE using Model Context Protocol that allows users to deploy their own MCP server to Heroku and connect it to Cursor IDE.
    2
    1
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Simple template for creating custom tools using Model Context Protocol, allowing creation of Stream Deck actions for use with Claude.

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    A simple template for creating custom tools for Cursor IDE using Model Context Protocol, deployable via Heroku, Docker, or directly within Cursor IDE.
    2
    Python
    MIT License
  • Why this server?

    Comprehensive MCP server offering resources, tools, and prompt management, useful for efficiently creating Stream Deck automations for LLM interactions.

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    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.
    3
    Python
    MIT License
  • Why this server?

    Generic Model Context Protocol framework for building AI-powered applications, which is helpful for building custom Stream Deck automations.

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    A generic Model Context Protocol framework for building AI-powered applications that provides standardized ways to create MCP servers and clients for integrating LLMs with support for Ollama and Supabase.
    TypeScript
  • Why this server?

    Acts as an AI assistant that can coordinate multiple AI tools to accomplish amazing things. Can coordinate automation with Stream Deck.

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    Swiss MCP is your AI-powered command center for orchestrating complex tasks with ease. Think of it as your personal AI assistant that can coordinate multiple AI tools to accomplish amazing things!
    8
    Python
    MIT License