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.
Enables AI agents to perform keyword, semantic, hybrid, and SQL retrieval over data stored on object storage or local paths, using a local embedding model without requiring an API key.
9
635
Apache 2.0
Why this server?
Provides read-only access to African speech corpora hosted on Hugging Face, enabling tools to list corpora, search transcription segments, retrieve corpus statistics, cite sources, and plan de-duplicated training sets with full provenance.
Provides read-only access to public African language speech corpora, with tools to list, search, cite, and plan de-duplicated training sets while enforcing licence and citation provenance.
24
8
1
Apache 2.0
Why this server?
Provides Hugging Face agents with tools to search and verify MCP servers.
Enables MCP clients like Claude Desktop and Cursor to interact with MiniMax APIs for generating speech, cloning voices, creating videos, and generating images.
6
1,571
MIT
Why this server?
Provides durable palette storage via Hugging Face Datasets, allowing saved palettes to persist across server restarts when configured with HF_TOKEN.
Exposes RNV color workflow tools for color mixing, conversion, harmony generation, text transformation, and palette management, allowing LLMs to directly compute colors and manipulate palettes.
9
1
MIT
Why this server?
Allows importing models from Hugging Face, connecting a personal token for private/gated repositories, and managing the Hugging Face integration for the workspace.
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.
10
1,129
128
MIT
Why this server?
Provides tools for accessing trending models, datasets, and spaces from the Hugging Face Hub.
