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:

Raw Split (raw)

• 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

Deduplicated Split (deduplicated)

• name: MCP client name (normalized, mcp-remote suffix stripped)
• versions: All versions seen for this client (comma-separated)
• 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.
• The deduplicated split groups clients by (name, capabilities), concatenating all versions together.

Usage

from datasets import load_dataset

# Load raw clients
raw_ds = load_dataset('evalstate/mcp-clients', 'raw')
for client in raw_ds['raw']:
    print(f"{client['name']} v{client['version']}")

# Load deduplicated clients
dedup_ds = load_dataset('evalstate/mcp-clients', 'deduplicated')
for client in dedup_ds['deduplicated']:
    print(f"{client['name']}: {client['versions']}")

Updating the Dataset

The dataset is kept up-to-date via Hugging Face Jobs:

1. Extract step (raw split):

   uv run https://huggingface.co/datasets/evalstate/mcp-clients/resolve/main/extract_mcp_clients.py --push-to-hub --split raw
   

2. Deduplicate step (deduplicated split):

   uv run https://huggingface.co/datasets/evalstate/mcp-clients/resolve/main/deduplicate_clients.py --push-to-hub
   

Or run the full pipeline:

uv run https://huggingface.co/datasets/evalstate/mcp-clients/resolve/main/pipeline.py

License

MIT