MCP server

Mozilla Data Collective Official

com.mozilladatacollective/datasets

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Working at last checkVerified publisher: mozilladatacollective.comAbout 1,079 tokens per request once connected3 tools

https://mozilladatacollective.com/api/mcp

At a glance

Type: MCP server
Publisher: mozilladatacollective.com (verified by the MCP Registry)
Status: Working at last check
Tools: 3
Token cost: About 1,079 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http datasets https://mozilladatacollective.com/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.datasets]
url = "https://mozilladatacollective.com/api/mcp"

Gemini CLI

{"mcpServers":{"datasets":{"httpUrl":"https://mozilladatacollective.com/api/mcp"}}}

Cursor

{"mcpServers":{"datasets":{"url":"https://mozilladatacollective.com/api/mcp"}}}

VS Code

{"servers":{"datasets":{"type":"http","url":"https://mozilladatacollective.com/api/mcp"}}}

Antigravity

agy mcp add datasets https://mozilladatacollective.com/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"datasets","server_url":"https://mozilladatacollective.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"datasets","server_url":"https://mozilladatacollective.com/api/mcp"}

fetch ~134 tokens
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 ~147 tokens
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
search ~798 tokens
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

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