MCP Servers for Hugging Face

Hugging Face is an AI community building the future. They provide tools that enable users to build, train and deploy ML models based on open source code and technologies.

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  • Why this server?

    Integrates with Hugging Face for model hosting and distribution, with links to MiniMax AI models on the platform.

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    JavaScript implementation of MiniMax MCP that enables interaction with MiniMax AI services for image generation, video generation, text-to-speech, and voice cloning through MCP-compatible clients.
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    31
    TypeScript
    MIT License
  • Why this server?

    Connects to MiniMax's Hugging Face organization to access related models and resources

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    Enables MCP clients like Claude Desktop and Cursor to interact with MiniMax APIs for generating speech, cloning voices, creating videos, and generating images.
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    302
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Integrates with Hugging Face's LocalPythonExecutor from the smolagents framework to provide secure Python code execution capabilities with basic isolation and security for running LLM-generated Python code.

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    Stdio MCP Server wrapping custom Python runtime (LocalPythonExecutor) from Hugging Faces' smolagents framework. The runtime combines the ease of setup (compared to docker, VM, cloud runtimes) while providing safeguards and limiting operations/imports that are allowed inside the runtime.
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    MIT License
    • Apple
  • Why this server?

    Uses the Hugging Face Inference API to generate embeddings for the knowledge base content, with optional model selection through environment variables.

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    Provides tools for listing and retrieving content from different knowledge bases using semantic search capabilities.
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    The Unlicense
    • Linux
    • Apple
  • Why this server?

    Allows interaction with the Hugging Face Dataset Viewer API, providing tools for browsing, searching, filtering, and analyzing datasets hosted on the Hugging Face Hub, along with support for authentication for private datasets.

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    Enables interaction with the Hugging Face Dataset Viewer API, allowing users to browse, search, filter, and analyze datasets hosted on the Hugging Face Hub.
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    MIT License
    • Apple
  • Why this server?

    Integrates with Hugging Face's Transformers and Hub for accessing ML models, enabling semantic search, embedding generation, and language model operations

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    txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows. All functionality can be served via it's API and the API supports MCP. Docs: https://neuml.github.io/txtai/api/mcp/
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    10,874
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    Apache 2.0
  • Why this server?

    Connects to Hugging Face Spaces with minimal setup, providing access to various AI models and services such as image generation, vision tasks, text-to-speech, and speech-to-text capabilities.

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    Use HuggingFace Spaces directly from Claude. Use Open Source Image Generation, Chat, Vision tasks and more. Supports Image, Audio and text uploads/downloads.
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    MIT License
    • Apple
  • Why this server?

    Supports interaction with Hugging Face datasets, enabling evaluation of data quality for datasets hosted on the platform

  • Why this server?

    Provides model hosting and distribution for the various Stable Diffusion models used by DiffuGen

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    Powerful image generation system leveraging multiple Stable Diffusion models (flux-schnell, flux-dev, sdxl, sd3, sd15) for creating high-quality AI-generated images with precise customization.
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    MIT License
    • Linux
    • Apple
  • Why this server?

    Provides access to research papers hosted on Hugging Face, allowing users to discover and discuss AI/ML research

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    MCP Extension that gives LLMs access to arXiv and Hugging Face papers, enabling users to discuss papers, search for new research, and organize literature reviews through natural conversation.
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    MIT License
    • Apple
  • Why this server?

    Tracks trending models, datasets, and spaces on Hugging Face, providing tools to fetch trending content, search for specific items, and analyze current trends on the platform.

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    An MCP server that tracks trending AI models, datasets, and spaces on Hugging Face.
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    MIT License
  • Why this server?

    Utilizes Hugging Face embedding models for code semantics, enabling semantic search through project files

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    A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.
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    MIT License
  • Why this server?

    Integrates with Hugging Face Spaces to leverage AI models for generating 2D and 3D game assets from text prompts.

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    An MCP server that generates 2D and 3D game assets from text prompts using AI models from Hugging Face Spaces, allowing developers to easily create game art through Claude Desktop or other MCP clients.
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    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Provides read-only access to Hugging Face Hub APIs, allowing interaction with models, datasets, spaces, papers, and collections. Includes tools for searching and retrieving detailed information across these resource types.

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    A Model Context Protocol server that provides Claude and other LLMs with read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, spaces, papers, and collections through natural language.
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    MIT License
    • Apple
  • Why this server?

    Uses the E5 embedding model from Hugging Face for semantic search capabilities, allowing context items to be found based on meaning rather than just exact key matches

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    An MCP server that extends AI agents' context window by providing tools to store, retrieve, and search memories, allowing agents to maintain history and context across long interactions.
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    MIT License
  • Why this server?

    Connects to Hugging Face Spaces, enabling access to various AI models and capabilities including image generation, vision tasks, text-to-speech, speech-to-text, and chat functionality with minimal setup.

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    Connects Claude Desktop to Hugging Face Spaces with minimal setup, enabling capabilities like image generation, vision tasks, text-to-speech, and chat with AI models.
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    MIT License
    • Apple
  • Why this server?

    Uses models downloaded from Hugging Face, specifically the Moondream quantized model for image analysis

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    A powerful server that integrates the Moondream vision model to enable advanced image analysis, including captioning, object detection, and visual question answering, through the Model Context Protocol, compatible with AI assistants like Claude and Cline.
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    Apache 2.0
  • Why this server?

    Enables loading, fine-tuning, and using models from Hugging Face, with optional authentication via HUGGINGFACE_TOKEN for accessing private models and datasets.

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    Provides tools for optimizing, fine-tuning, and deploying large language models with Unsloth, enabling 2x faster training with 80% less memory through model loading, fine-tuning, text generation, and model export capabilities.
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  • Why this server?

    Provides an HTTP interface to call the Flux Schnell image generation model hosted on Hugging Face, allowing for customized image creation with adjustable dimensions and seed values

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    An MCP image generation server based on the Flux Schnell model that provides API access for generating images from text prompts with customizable dimensions and seeds.
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    • Linux
    • Apple