# Mozilla Data Collective (remote · mozilladatacollective.com)

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

- Trust score: 80/100 (high trust)
- Change this week: +4
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-23

## Components

- remote · `mozilladatacollective.com`: 80/100 (this document), [markdown](https://verifymcp.io/servers/com-mozilladatacollective-datasets/api-mcp.md), [page](https://verifymcp.io/servers/com-mozilladatacollective-datasets/api-mcp)

## Channel facts

- Endpoint: `https://mozilladatacollective.com/api/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `0.1.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-23.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 68/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 911 tokens (~303/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 53/100
  - Stability observed for 16 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the Mozilla Data Collective MCP server?

Mozilla Data Collective is a hosted endpoint at https://mozilladatacollective.com/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

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

### Cursor

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

### VS Code

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

### Codex

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

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-mozilladatacollective-datasets": {
      "type": "remote",
      "url": "https://mozilladatacollective.com/api/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-mozilladatacollective-datasets --url 'https://mozilladatacollective.com/api/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-mozilladatacollective-datasets:
    url: "https://mozilladatacollective.com/api/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "com-mozilladatacollective-datasets": {
      "Transport": "http",
      "Url": "https://mozilladatacollective.com/api/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add com-mozilladatacollective-datasets -t streamable-http -u 'https://mozilladatacollective.com/api/mcp'
```

### Other

```json
{
  "mcpServers": {
    "com-mozilladatacollective-datasets": {
      "type": "http",
      "url": "https://mozilladatacollective.com/api/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-23 (score 80, +1)

No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-21 (score 79, +1)

No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-19 (score 78, +1)

No change was recorded against any check on this day. Stability & Change Management went from 37 to 40. That category is still filling its 30-day observation window: 11 days of observed history at the previous scan, 12 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-17 (score 77, +1)

No change was recorded against any check on this day. Stability & Change Management went from 30 to 33. That category is still filling its 30-day observation window: 9 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-15 (score 76, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-12 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-10 (score 74, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-08 (score 73, +1)

- [functional improvement] Stability: unverified → 0.03

## MCP tools (3)

### `search` (~440 tokens)

Search datasets

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.

Input parameters:

- `format` (array): Restrict to these file formats, e.g. ['WAV', 'MP3']. Values must match exactly (case-sensitive); call the list_filters tool to get the valid ones.
- `hasSample` (boolean): true returns only datasets that publish a downloadable sample, useful when the user wants to try data before committing. false behaves the same as omitting it.
- `isPaid` (boolean): true returns only paid datasets, false only free ones. Omit to include both.
- `license` (array): Restrict to these license abbreviations, e.g. ['CC0-1.0', 'CC-BY-4.0']. Values must match exactly (case-sensitive); call the list_filters tool to get the valid ones.
- `limit` (integer): Maximum number of results to return (1-25).
- `locale` (array): Restrict to these language/locale codes, e.g. ['sw', 'pt-BR']. Values must match exactly (case-sensitive); call the list_filters tool to get the valid ones.
- `query` (string, required): Natural-language search query describing the datasets you are looking for, e.g. 'Spanish speech recordings for TTS training'. Descriptive phrases retrieve better than single keywords.
- `sort` (string): Result ordering. Defaults to 'relevance'; use 'newest' or 'size' only when the user asks for it.
- `sortDirection` (string): Direction for the sort field. Only meaningful alongside sort='newest' or sort='size'.
- `task` (array): Restrict to these machine-learning tasks, e.g. ['ASR', 'TTS'].
- `uploadDate` (string): Restrict to datasets published within this recent window.

### `fetch` (~65 tokens)

Fetch dataset details

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.

Input parameters:

- `id` (string, required): Dataset id or slug, as returned in the id field of search results.

### `list_filters` (~79 tokens)

List dataset filter values

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.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-mozilladatacollective-datasets/api-mcp#diagnostics

## Score history

- 2026-09-23: 80
- 2026-09-22: 79
- 2026-09-21: 79
- 2026-09-20: 78
- 2026-09-19: 78
- 2026-09-18: 77
- 2026-09-17: 77
- 2026-09-16: 76
- 2026-09-15: 76
- 2026-09-14: 75
- 2026-09-13: 75
- 2026-09-12: 75
- 2026-09-11: 74
- 2026-09-10: 74
- 2026-09-09: 73
- 2026-09-08: 73
- 2026-09-07: 72

## Common questions

### What is the Mozilla Data Collective MCP server?

Mozilla Data Collective is an MCP server listed in the public MCP registry as com.mozilladatacollective/datasets. Search the Mozilla Data Collective catalog of ethically sourced AI training datasets. This page covers its hosted endpoint (https://mozilladatacollective.com/api/mcp).

### Is the Mozilla Data Collective MCP server safe to use?

Mozilla Data Collective scores 80 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Mozilla Data Collective MCP server expose?

Mozilla Data Collective exposes 3 tools: search, fetch, list_filters. Their descriptions and schemas cost roughly 584 tokens of context every time the server is loaded.

### Does the Mozilla Data Collective MCP server require authentication?

No. We connected to Mozilla Data Collective without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the Mozilla Data Collective MCP server still maintained?

Mozilla Data Collective is still listed as active in the MCP registry. We last reached this channel on 23 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://mozilladatacollective.com/api/mcp
- Website: https://mozilladatacollective.com/
- Changelog RSS feed: https://verifymcp.io/servers/com-mozilladatacollective-datasets/api-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-mozilladatacollective-datasets/api-mcp.json
- HTML version of this page: https://verifymcp.io/servers/com-mozilladatacollective-datasets/api-mcp