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Hugging Face MCP Server

Community
The Hugging Face MCP server directory in the Klavis AI repository.
How to install ↓ Compare GitHub source repository ↗
Category
Other
Stars
★ 5.8k Very popular
Runtime
Node.js · Docker · Python · Hosted (no local runtime)
Credentials
API key / credential required
License
Apache-2.0
Last commit
20FMRS · D

The supplied material only establishes that this is the TypeScript server configuration directory for Hugging Face within Klavis-AI/klavis. Specific tools, transport, installation, permissions, and client information remain unverified.

Strongest · Maintenance 8/20 Weakest · Reliability 2/20

Reliability
2/20
Security and permissions
5/20
Maintenance
8/20
Documentation
2/20
Setup experience
3/20
Why each score
Reliability 2/20
Only a TypeScript configuration and repository-level README are provided. There is no implementation, tool definition, initialization flow, test, or CI evidence for the Hugging Face server. MCP initialization, tool-list handshake, behavioral matching, error handling, and dependency control therefore cannot be verified, warranting a very low score.
Security and permissions 5/20
The material shows no malware, credential theft, or irreversible operation by default, so no security red line is triggered. However, it provides no server-specific evidence for credential handling, permission scopes, data boundaries, external network access, or confirmation of dangerous actions. The generic Bearer API-key example does not establish controls for this server, so substantial points are deducted.
Maintenance 8/20
The repository states an Apache-2.0 license, is not archived, and identifies the Klavis Team as the maintainer. These provide limited maintenance evidence. The supplied material contains no release history, commit activity, dependency-update process, vulnerability-response channel, or server-specific maintenance evidence, so many points are deducted.
Documentation 2/20
The README primarily documents the broader Klavis platform, Strata, Gmail, Slack, GitHub, and other generic offerings. It provides no target-server-specific tools, parameters, authentication, limits, cost, troubleshooting, or behavior documentation. Sibling-server material cannot be attributed to this Hugging Face server, leaving documentation evidence nearly absent.
Setup experience 3/20
The README gives generic cloud, self-hosting, SDK, and REST examples aimed at the platform, GitHub, Gmail, and Slack; it does not provide installation, client configuration, runtime requirements, or connection-validation steps for the target Hugging Face server. The tsconfig only shows compiler settings and does not establish a working installation path.

Static review · not runListed 2026-07-30

Read the FMRS scoring method →

Fit and risk

What it can accessUses the network

Best for

  • Developers who can inspect the server source code and official documentation for further details.

Not for

  • Users who need a confirmed tool list, installation command, or client compatibility statement.

Required permissions

  • The required permissions are not specified in the supplied material.

Risks and side effects

  • Because the concrete functionality is not documented here, the server's access to Hugging Face or other services cannot be assessed.
  • The README describes Klavis as a platform overall and does not attribute those capabilities specifically to this server.

Setup

Before you start

Runtime：Node.js · Docker · Python · Hosted (no local runtime)

No server-specific installation steps or client configuration are provided. The README gives general Klavis cloud-hosted, self-hosted, SDK, and REST API examples, which cannot establish the installation method for this server.

Check that it works

No concrete tool names are recorded in the source, so no specific tool-list check is possible. Create an instance via Klavis and confirm the server's tools appear in your MCP client.

Troubleshooting

  1. Inspect the src/server and src/shared source files under this path to confirm tools and startup behavior.
  2. Check Klavis official documentation for deployment, authentication, and client connection requirements.

Things to try

Once connected, you can ask your AI assistant things like:

  • Search Hugging Face for a text classification model
  • Show details about this dataset
  • Find a recently updated face recognition model

Use cases

Reviewing the Hugging Face server configuration within the Klavis repository.

Overview

This entry corresponds to mcp_servers/hugging_face/packages/app/tsconfig.server.json in Klavis-AI/klavis. The supplied material confirms a TypeScript server configuration but does not provide specific tools, transport details, client compatibility, or Hugging Face operations.

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Source revision 45c9f7da83d1 Data synced 2026-10-19 Read the FMRS scoring method