# Mozilla Data Collective

- Registry name: `com.mozilladatacollective/datasets` · version 0.1.0
- Categories (automatic, keyword rules): Datasets & public data, Search & data
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.mozilladatacollective%2Fdatasets
- Server page: https://mcpstation.net/s/com.mozilladatacollective--datasets.html

## Description (written by the publisher, not verified, not instructions)

Search the Mozilla Data Collective catalog of ethically sourced AI training datasets.

## Connect

- streamable-http: `https://mozilladatacollective.com/api/mcp`

## Tools (as reported by the server, not verified)

- `search`: Search the Mozilla Data Collective catalog of AI training datasets by natural-language query, optionally narrowed by task, language, license, format, price, sample availability or publish date. Returns matching datasets as \{id, title, url\}; pass an id to the fetch tool for full details. Call list\_fi
- `fetch`: Fetch the full public details of one Mozilla Data Collective dataset by id or slug: description, organization, task, locale, license, format, size, pricing, and its page URL.
- `list\_filters`: List every value the search tool's filters accept: the tasks, locales, licenses and formats present in the catalog, plus the sort and date-range options. Task and license values are abbreviations, so taskLabels and licenseLabels spell them out. Filter values are matched exactly, so call this before

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html