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Using Civitai to Find Missing Models and Custom Nodes for ComfyUI

  • Why this server?

    This server is designed to be a helpful companion for developers working with MCP and lists available MCP servers. It can assist in finding other relevant servers for ComfyUI and Civitai.

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    A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.
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    JavaScript
    Apache 2.0
  • Why this server?

    This server can generate images from prompts by interacting with a remote Comfy server, automating image creation based on workflow configurations. This aligns with the user's request to control ComfyUI.

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    The Comfy MCP Server uses the FastMCP framework to generate images from prompts by interacting with a remote Comfy server, allowing automated image creation based on workflow configurations.
    7
    Python
    MIT License
  • Why this server?

    This allows you to easily find MCP servers using the MCP registry and search with natural language which is exactly what the user is looking for.

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    Easily find MCP servers using our MCP registry. Search with natural language.
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    JavaScript
    MIT License
  • Why this server?

    This server allows the user to expose actions as tools from their Integration App workspace through the Model Context Protocol. This can involve automating model/node searches.

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    This MCP server implementation allows users to manage and expose actions as tools from their Integration App workspace through the Model Context Protocol.
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    JavaScript
  • Why this server?

    This server interacts with toolhouse.ai and does not rely on an external LLM. The original request includes "easily find any missing models or custom nodes using civitai" and this server allows users to create and integrate tools.

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    MCP server for toolhouse.ai. This does not rely on an external llm unlike the official server.
    1
    Python
    MIT License
  • Why this server?

    This server lets you analyze and query your Honeycomb datasets to help manage custom modes.

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    Server for interacting with Honeycomb observability data. This server enables LLMs like Claude to directly analyze and query your Honeycomb datasets.
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    TypeScript
    MIT License
    • Linux
    • Apple
  • Why this server?

    Enables search capabilities using a Google Custom Search Engine, allowing users to input a search term and retrieve search result titles, links, and snippets, while facilitating integration with other tools for content extraction and advanced search strategies, which is relevant for finding models and nodes.

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    Enables search capabilities using a Google Custom Search Engine, allowing users to input a search term and retrieve search result titles, links, and snippets, while facilitating integration with other tools for content extraction and advanced search strategies.
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    13
    Python
    The Unlicense