INDIVIDUAL MCP TOOL

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.

mozilladatacollective.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://mozilladatacollective.com/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for list_filters and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

mozilladatacollective.com

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.mozilla-data-collective]
url = "https://mozilladatacollective.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "mozilla-data-collective": {
      "type": "http",
      "url": "https://mozilladatacollective.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: mozilla-data-collective
Remote MCP URL: https://mozilladatacollective.com/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "mozilla-data-collective": {
      "url": "https://mozilladatacollective.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "mozilla-data-collective": {
      "type": "http",
      "url": "https://mozilladatacollective.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "mozilla-data-collective",
  "transport": "streamable-http",
  "url": "https://mozilladatacollective.com/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

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.
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.