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Connecting Elgato Stream Deck Software for Custom Automations

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  • 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.
    Last updated
    2,825
    14
    MIT

  • 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).
    Last updated
    34

  • 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.
    Last updated
    5
    4
    MIT

  • 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.
    Last updated
    23
    Apache 2.0

  • 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.
    Last updated
    1
    20
    4
    ISC

  • 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.
    Last updated
    2
    2
    MIT

  • 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.
    Last updated
    2
    5
    MIT

  • 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.
    Last updated
    3
    MIT

  • 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.
    Last updated
    2
    MIT