MCP Clients Dataset

This data contains clients logged by the MCP Server at huggingface.co/mcp.

Dataset Contents

The dataset contains unique MCP client configurations with the following fields:

• name: MCP client name (e.g., "Cursor", "Anthropic/ClaudeAI", "chat-ui-mcp")
• version: Client version
• capabilities: Client capabilities (JSON string)
• last_seen: Most recent timestamp when this client was seen

Notes about the Data

• Some Clients only send capabilities that have been configured (for example, fast-agent only sends the roots capability if they have been configured)
• There are a number of capabilities out of specification that are helpful to track (e.g. MCP-UI, Skybridge, Apps SDK). We encourage the use of experimental to advertise these capabilities for tracking.
• The data is extracted from the evalstate/hf-mcp-logs dataset, filtering for initialize method calls and tracking the most recent last_seen timestamp for each unique client configuration.

Usage

from datasets import load_dataset

ds = load_dataset('evalstate/mcp-clients', split='train')
for client in ds:
    print(f"{client['name']} v{client['version']}")
    print(f"Capabilities: {client['capabilities']}")
    print(f"Last seen: {client['last_seen']}")

Updating the Dataset

The dataset is kept up-to-date via Hugging Face Jobs, which runs the mcp_clients_job.py script on a schedule.

To run the extraction script locally for testing:

# Run with limit (for testing)
uv run mcp_clients_job.py --limit 10000

# Run on full dataset
uv run mcp_clients_job.py

License

MIT