generated: '2026-06-20' method: searched status: published source: https://huggingface.co/docs/hub/en/hf-mcp-server server: name: hugging-face transport: - stdio - streamable-http url: https://huggingface.co/mcp settings: https://huggingface.co/settings/mcp source_code: https://github.com/huggingface/hf-mcp-server auth: Bearer User Access Token (hf_...) or OAuth. Anonymous access is available for read/search tools; authenticated access unlocks jobs and private repos. notes: Official Hugging Face remote MCP server. Connects MCP-compatible clients (Claude Desktop, Cursor, VS Code, Zed, Codex, ChatGPT) to the Hub. Beyond the built-in tools below, users can add MCP-compatible Gradio Spaces as additional runtime tools from the settings page. tools: - name: Spaces Semantic Search description: Find the best AI apps (Spaces) via natural language queries. - name: Papers Semantic Search description: Find ML research papers via natural language queries. - name: Model Search description: Search for ML models with filters for task, library, and more. - name: Dataset Search description: Search for datasets with filters for author, tags, and more. - name: Documentation Semantic Search description: Search the Hugging Face documentation using natural language across all Hugging Face libraries. - name: Run and Manage Jobs description: Run, monitor, and schedule jobs on Hugging Face infrastructure. - name: Hub Repository Details description: Get detailed information about models, datasets, and Spaces, optionally including README content. deployment: mode: remote endpoint: https://huggingface.co/mcp verified: probed probe: live checked: '2026-08-12' source: catalog MCP census