mcp-clients / README.md
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Update deduplicated clients (2025-12-27 21:45)
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---
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
```python
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):
```bash
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):
```bash
uv run https://huggingface.co/datasets/evalstate/mcp-clients/resolve/main/deduplicate_clients.py --push-to-hub
```
## License
MIT