Datasets:

evalstate
/

mcp-clients

configs:
  - config_name: deduplicated
    data_files:
      - split: deduplicated
        path: data/deduplicated-*.parquet
  - config_name: default
    data_files:
      - split: deduplicated
        path: data/deduplicated-*
  - config_name: raw
    data_files:
      - split: raw
        path: data/raw-*.parquet
dataset_info:
  features:
    - name: name
      dtype: string
    - name: versions
      dtype: string
    - name: capabilities
      dtype: string
    - name: last_seen
      dtype: string
  splits:
    - name: deduplicated
      num_bytes: 2757
      num_examples: 32
  download_size: 3610
  dataset_size: 2757

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:

Extract step (raw split):

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

Deduplicate step (deduplicated split):

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

License

MIT