Mozilla Data Collective
Search the Mozilla Data Collective catalog of ethically sourced AI training datasets.
Connect it
Settings → Connectors → Add custom connector
URL: https://mozilladatacollective.com/api/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://mozilladatacollective.com/api/mcp{
"mcpServers": {
"datasets": {
"url": "https://mozilladatacollective.com/api/mcp"
}
}
}claude mcp add --transport http datasets https://mozilladatacollective.com/api/mcp{
"servers": {
"datasets": {
"type": "http",
"url": "https://mozilladatacollective.com/api/mcp"
}
}
}3 tools, verified live
searchread-onlySearch 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_filters first if you intend to filter â filter values must match the catalog exactly.
fetchread-onlyFetch 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_filtersread-onlyList 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 filtering a search rather than guessing values. Takes no arguments.
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