MCP HuggingFetch
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| HF_HOME | No | Cache directory | ~/.cache/huggingface |
| LOG_LEVEL | No | Log level (debug, info, warn, error) | info |
| HUGGINGFACE_TOKEN | Yes | HuggingFace access token | |
| HUGGINGFETCH_DOWNLOAD_DIR | No | Default download directory | ~/Downloads/huggingface_models |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| download_huggingface_modelC | ⚡ 高速下载 HuggingFace 模型到本地 |
| list_huggingface_filesC | 列出 HuggingFace 仓库中的文件,支持过滤和排序 |
| explore_huggingface_repoB | 探索 HuggingFace 仓库的目录结构,返回层级化的文件树 |
| search_huggingface_filesC | 在 HuggingFace 仓库中搜索特定文件 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
The tools have overlapping purposes that could cause confusion. 'explore_huggingface_repo' and 'list_huggingface_files' both deal with repository file listings, though 'explore' emphasizes hierarchical structure while 'list' focuses on filtering and sorting. 'search_huggingface_files' is distinct for searching, but the boundary between listing and exploring is unclear without more context in descriptions.
Tool names follow a highly consistent verb_noun pattern with 'huggingface' as a common prefix. All tools use snake_case and start with an action verb (download, explore, list, search) followed by the target noun, making them predictable and easy to understand.
Four tools is a reasonable number for a server focused on HuggingFace operations, covering downloading, exploring, listing, and searching. It's slightly thin but well-scoped for basic interactions, with no obvious bloat or missing core functions given the domain.
The tool set covers key operations for accessing HuggingFace repositories but has notable gaps. There's no support for uploading, updating, or deleting models/files, and no tools for model inference or metadata retrieval, which are common in HuggingFace workflows. This limits agents to read-only and download tasks.