Search / com.mozilladatacollective/datasets
Mozilla Data Collective
R0· no sign-inSearch the Mozilla Data Collective catalog of ethically sourced AI training datasets.
v0.1.0 · active · website · descriptor JSON · versions
Search / com.mozilladatacollective/datasets
R0· no sign-inSearch the Mozilla Data Collective catalog of ethically sourced AI training datasets.
v0.1.0 · active · website · descriptor JSON · versions
{
"mcpServers": {
"datasets": {
"type": "http",
"url": "https://mozilladatacollective.com/api/mcp"
}
}
}claude mcp add --transport http datasets https://mozilladatacollective.com/api/mcp[mcp_servers.datasets]
url = "https://mozilladatacollective.com/api/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"datasets": {
"type": "remote",
"url": "https://mozilladatacollective.com/api/mcp",
"enabled": true
}
}
}{
"mcpServers": {
"datasets": {
"type": "http",
"url": "https://mozilladatacollective.com/api/mcp"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=datasets&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbW96aWxsYWRhdGFjb2xsZWN0aXZlLmNvbS9hcGkvbWNwIn0%3D"
}{
"servers": {
"datasets": {
"type": "http",
"url": "https://mozilladatacollective.com/api/mcp"
}
}
}{
"mcpServers": {
"datasets": {
"httpUrl": "https://mozilladatacollective.com/api/mcp"
}
}
}extensions:
"datasets":
enabled: true
name: "datasets"
type: streamable_http
uri: "https://mozilladatacollective.com/api/mcp"
timeout: 300
protocol.modernsupports 2026-07-28 (server/discover)protocol.statelessanswers without a sessionprotocol.transportstreamable HTTPprotocol.list_ttltools/list declares ttlMs 0, so clients re-fetch it on every useauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_lengthdescriptions are concisetools.schemasevery tool has an object input schematools.annotations3 of 3 tools declare readOnlyHint or destructiveHinttools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHinttools.token_costabout 976 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changesno tool changes in 30 daysstability.rug_pullno tool changed its meaning under the same namedeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+dns-namespace +website +reachable +uptime-97% ~updated-43d-ago -no-repository
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://mozilladatacollective.com/api/mcp streamable-http | none | yes | 97% | 456 ms | 2026-07-28 | 2026-10-20 |
fetchread-only | 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_filtersread-only | 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 filtering a search rather than guessing values. Takes no arguments. |
searchread-only | 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_filters first if you intend to filter — filter values must match the catalog exactly. |
Schemas: list_tools.
{
"name": "com.mozilladatacollective/datasets",
"title": "Mozilla Data Collective",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://mozilladatacollective.com/api/mcp",
"type": "streamable-http"
}
],
"version": "0.1.0",
"websiteUrl": "https://mozilladatacollective.com",
"description": "Search the Mozilla Data Collective catalog of ethically sourced AI training datasets."
}