About Dataset licence facts
Dataset licence facts (dlf) is a Python generator for static licence-fact pages about Hugging Face datasets. The README describes the generator and its development checks, but does not specify MCP capabilities.
Key features
- 01Generate static dataset licence-fact pages
- 02Cover Hugging Face datasets
- 03Run tests with pytest
- 04Check code with ruff
Use cases
- 01Generate licence-fact pages for datasets
- 02Run the project's test suite
- 03Check code style with ruff
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.datalicense.uk/mcpclaude mcp add --transport http uk-datalicense-dataset-licence https://mcp.datalicense.uk/mcp{"mcpServers":{"uk-datalicense-dataset-licence":{"type":"http","url":"https://mcp.datalicense.uk/mcp"}}}Open in Cursor{"servers":{"uk-datalicense-dataset-licence":{"type":"http","url":"https://mcp.datalicense.uk/mcp"}}}Open in VS Code{"mcpServers":{"uk-datalicense-dataset-licence":{"type":"http","url":"https://mcp.datalicense.uk/mcp"}}}{"mcpServers":{"uk-datalicense-dataset-licence":{"serverUrl":"https://mcp.datalicense.uk/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEdlf - dataset licence facts
A Python generator of static licence-fact pages for Hugging Face datasets.
uv venv --python 3.12 .venv
uv pip install -e '.[dev]'
.venv/bin/pytest -q
.venv/bin/ruff check
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.