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Glama

Server Details

Connect to Hugging Face Hub and thousands of Gradio AI Applications

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsA

Average 4.5/5 across 4 of 4 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool has a distinct purpose: hf_fs navigates the hub like a filesystem, hf_whoami handles authentication, hub_repo_details retrieves metadata for specific repos, and hub_repo_search searches across repos. No functional overlap.

Naming Consistency3/5

Names mix prefixes: 'hf_' (hf_fs, hf_whoami) and 'hub_' (hub_repo_details, hub_repo_search). While the verb_noun pattern is somewhat present (hf_fs is not verb_noun but a shortcut), the inconsistency in prefixes is confusing.

Tool Count4/5

With 4 tools covering navigation, details, search, and authentication, the count is appropriate for a read-focused exploration server. Not too few, and each tool serves a clear role.

Completeness4/5

The set covers core exploration needs: browsing resources (hf_fs), getting repo details (hub_repo_details), searching (hub_repo_search), and identity (hf_whoami). Missing write operations, but that aligns with the apparent read-only purpose.

Available Tools

4 tools
hf_fsHugging Face Hub: Find, use and view models, datasets, spaces, buckets, papers, documentation and collections. Get daily papers reports, and browse trending content.
Read-only
Inspect

Use to access the Hugging Face Hub. Navigate resources with ls, cat, find, stat, and search over hf:// URIs. Roots: hf://models, hf://datasets, hf://spaces, hf://buckets, hf://collections, hf://papers, hf://docs. For papers, ls hf://papers/ARXIV_ID to discover related resources; cat hf://papers/ARXIV_ID/paper.md or metadata.json. Documentation paths include the current version from each product's llms.txt manifest.

Grammar; each token below is one args array element: ls URI [(-R|-r|-lR|-laR|--recursive)] [(-l|-a|-la|-al|--long)] [--glob GLOB] [(-type|--type|--entry-type) TYPE] [--sort SORT] [(-limit|--limit) N] cat URI [RELATIVE_PATH] [(-offset|--offset) N] [(-max-bytes|--max-bytes) N] stat URI [RELATIVE_PATH] find URI [(-R|-r|--recursive)] [(-name|--name|--glob) GLOB] [(-path|--path) GLOB] [(-type|--type|--entry-type) TYPE] [(-limit|--limit) N] search URI [QUERY...] [(-type|--type|--entry-type) TYPE] [--sort SORT] [--tag TAG] [--kind mcp] [(-limit|--limit) N]

TYPE = file|dir|repo|bucket|collection|paper|link. Type aliases: f=file, d=dir, l=link, model|dataset|space=repo. SORT = createdAt|downloads|likes|lastModified|likes30d|trendingScore|mainSize|id|trending|upvotes. URI starts with hf://. QUERY and GLOB are each one string token. Search URI: hf://models|datasets|spaces[/OWNER], hf://collections[/OWNER], any hf://docs scope, or exactly hf://papers; not hf://. Repository and collection searches may omit QUERY to browse or filter; documentation and paper searches require it. Search joins multiple positional QUERY tokens with spaces. Cat and stat join one RELATIVE_PATH token to URI. Long-list flags are accepted for compatibility; hf_fs listings are already structured, so they do not alter output. Find is already recursive, so recursive flags are accepted without altering behavior. Space search: hf://spaces uses semantic search; repeat --tag to require tags, or use --kind mcp for --tag mcp-server. hf://spaces/OWNER uses owner-scoped keyword search. Documentation: ls hf://docs for products; search any docs scope; use returned hf:// URIs verbatim. Trending listings: ls hf://models/trending, hf://datasets/trending, or hf://spaces/trending. They return up to 20 entries. Trending paths imply trending order; --sort trending|trendingScore is redundant but valid. Trending papers: ls hf://papers/trending. TYPE filters mixed results; omit it when the URI already fixes the result type. Limits and path-specific behavior are documented at hf://README.md. Omit --limit and --sort unless the request asks for a cap, ordering, or exhaustive results. No pipes, redirects, shell expansion, or multiple commands.

ParametersJSON Schema
NameRequiredDescriptionDefault
cmdYesCommand to execute.
argsYesCommand arguments; each array item is one grammar token.

Output Schema

ParametersJSON Schema
NameRequiredDescription
opYes
lfsNo
uriYes
urlNo
pathNo
sizeNo
typeNo
bytesNo
existsNo
contentNo
entriesNo
sectionNo
warningsNo
arxiv_urlNo
namespaceNo
truncatedNo
target_uriNo
next_offsetNo
content_typeNo
published_atNo
daily_papers_uriNo
daily_papers_dateNo
truncation_reasonNo
truncation_messageNo
hf_whoamiHugging Face User Info
Read-only
Inspect

Hugging Face tools are being used anonymously and may be rate limited. Call this tool for instructions on joining and authenticating.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

hub_repo_details
Read-only
Inspect

Get details for one or more Hugging Face repos (model, dataset, or space). Auto-detects type unless specified. For datasets, use operations: overview, dataset_structure, dataset_preview. Use dataset_structure first to discover configs, splits, sizes, and schema. Use dataset_preview only when config and split are known, unless the dataset has a single config/split.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNoRow count for dataset_preview. Defaults to 5 and is clamped to 1-100.
splitNoDataset Viewer split. Required for dataset_preview when the dataset has multiple config/split options. Discover via dataset_structure.
configNoDataset Viewer config. Required for dataset_preview when the dataset has multiple config/split options. Discover via dataset_structure.
offsetNoRow offset for dataset_preview. Defaults to 0.
repo_idsYesRepo IDs for (models|dataset/space) - usually in author/name format (e.g. openai/gpt-oss-120b)
repo_typeNoSpecify lookup type; otherwise auto-detects
operationsNoDetails to return. Defaults to ["overview"]. For datasets, prefer ["overview", "dataset_structure"] first; then call ["dataset_preview"] with config and split.

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