Mozilla Data Collective
com.mozilladatacollective/datasets · v0.1.0
Search the Mozilla Data Collective catalog of ethically sourced AI training datasets.
MCPremoteno credentialsTasks & projectsScience & open data
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 3 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
A 100/100
What it does: 3 tools · 3 read, 0 write · Tasks & projects
Test call list_filters: worked (1,134 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: +5
- Safe test call: +20
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://mozilladatacollective.com/api/mcpTools
3 tools listed at last check
searchSearch 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_fifetchFetch 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_filtersList 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
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Markdown for your README
[](https://clawy.uk/mcp/s/com.mozilladatacollective/datasets)