"Hugging Face" matching MCP servers:

A production-ready local MCP server for Agent Studio, providing tools for calculation, search, chat, and Hugging Face text generation via the Inference API.

An MCP server that turns the Hugging Face Hub into a conversational model picker with a tool-use eval harness to prove the agent actually uses it correctly.

Enables face keypoint detection, beautification, age/gender transform, face swap, cartoonization, and liveness detection via AceDataCloud API.

MCP server that brings AI paper reading and code repository discovery from Hugging Face Papers into any MCP-compatible client.

Enables assistants to search, fetch daily curated lists, retrieve metadata, and generate citations for Hugging Face papers.

Provides access to AI Swap Face's image generation styles, pricing, FAQ, and official links. Enables AI clients to retrieve information about this online face-swapping tool.

Typed MCP server for Hugging Face LeRobot workflows. Provides a structured, auditable interface for LeRobot CLI, examples, datasets, and dataset conversion.

Enables face detection and recognition in Agentic AI workflows using Azure Face API, supporting attribute detection, image comparison, and face recognition.

A universal Model Context Protocol server in Java, enabling interaction with multiple LLMs (OpenAI, Gemini, Hugging Face) and databases (MongoDB) through a modular Spring Boot architecture.

Search and retrieve models, datasets, and spaces from Hugging Face Hub. Enables browsing trending items and getting detailed info on repos.

Enables reviewing and managing AI research paper candidates from arXiv, Semantic Scholar, and Hugging Face Daily Papers, scored against personal interests, via MCP tools in Claude Desktop or Cowork.

Connects LLMs to the Hugging Face Hub and thousands of Gradio AI applications, enabling repository search, file access, Space interaction, jobs, and sandbox tools through MCP. Supports STDIO and Streamable HTTP transports with optional Hugging Face authentication.

Enables MCP-capable assistants to quantize Hugging Face models into GGUF format and publish the results to your Hugging Face profile, with tools for credits, pricing, model browsing, and job status.

An MCP server that enables agents to automate refusal direction removal from open-weight LLMs via Optuna-driven search, producing standard Hugging Face models with no inference overhead.

Provides direct access to the Hugging Face Hub for searching models and datasets, fetching metadata, and running inference on text, images, and audio.

Local MCP server for on-premise face recognition, liveness detection, and identity verification, enabling AI agents to use 3DiVi Face SDK tools without cloud dependency or SDK integration code.

An MCP server that fetches live trends from X, Google News, GitHub, and Hugging Face, and generates a self-contained HTML dashboard displaying top 20 lists for AI news, coding repositories, and models.

Provides tools for greetings, calculations, weather, geocoding, and image generation via Hugging Face, deployable to Vercel and integrable with Cursor.

Enables market research and analytics for digital, audio, POD, and ebook publishing by integrating DuckDuckGo search, Gemini API, Supabase, Airtable, Hugging Face, and GitHub.

Enables users to compare two brands in real-time by fetching Google Shopping data via SerpAPI, calculating price and rating statistics, and generating AI-powered value-for-money comparisons using Hugging Face LLMs.