# DataSocial (remote · api.datasocial.ai)

Query a TikTok data warehouse (creators, videos, sounds, daily history) with read-only SQL.

- Trust score: 74/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-05

## Components

- remote · `api.datasocial.ai`: 74/100 (this document), [markdown](https://verifymcp.io/servers/hashfunction-dev-datasocial-mcp/api.md), [page](https://verifymcp.io/servers/hashfunction-dev-datasocial-mcp/api)

## Channel facts

- Endpoint: `https://api.datasocial.ai/mcp`
- Transports: `streamable-http`
- Auth: `required`
- Version: `1.0.0`

## 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 2026-10-05.

- **Endpoint Security**: 71/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation is enforced on tool calls, but the challenge carries no valid RFC 9728 metadata, so a client cannot discover where to get a token.
  - HTTPS enforcement could not be verified: the plaintext port answered with HTTP 405, which proves neither a plaintext path nor enforcement.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - 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**: 82/100
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 492 tokens (~123/item across 4 items; 4 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 20/100
  - Stability observed for 6 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.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the DataSocial MCP server?

DataSocial is a hosted endpoint at https://api.datasocial.ai/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 hashfunction-dev-datasocial-mcp 'https://api.datasocial.ai/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "hashfunction-dev-datasocial-mcp": {
      "url": "https://api.datasocial.ai/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "hashfunction-dev-datasocial-mcp": {
      "type": "http",
      "url": "https://api.datasocial.ai/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.hashfunction-dev-datasocial-mcp]
url = "https://api.datasocial.ai/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "hashfunction-dev-datasocial-mcp": {
      "type": "remote",
      "url": "https://api.datasocial.ai/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add hashfunction-dev-datasocial-mcp --url 'https://api.datasocial.ai/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  hashfunction-dev-datasocial-mcp:
    url: "https://api.datasocial.ai/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "hashfunction-dev-datasocial-mcp": {
      "Transport": "http",
      "Url": "https://api.datasocial.ai/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add hashfunction-dev-datasocial-mcp -t streamable-http -u 'https://api.datasocial.ai/mcp'
```

### Other

```json
{
  "mcpServers": {
    "hashfunction-dev-datasocial-mcp": {
      "type": "http",
      "url": "https://api.datasocial.ai/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.

### 2026-10-04 (score 74, +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.

### 2026-10-02 (score 73, +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.

### 2026-09-30 (score 72, +1)

- [functional improvement] Stability: unverified → 0.03

### 2026-09-29 (score 71)

First indexed and scored.

## MCP tools (4)

### `list_tables` (~33 tokens)

List tables

The tables in the DataSocial TikTok warehouse: name, row count, what one row is, and what it holds.

Output parameters:

- `tables` (array)

### `describe_table` (~55 tokens)

Describe a table

One table's columns with types and meanings, its sort key and coverage. Read it before writing SQL on a table.

Input parameters:

- `table` (string, required): The table, e.g. "creators" or "tiktok.creators"

Output parameters:

- `description` (string): Size, grain, sort key, coverage and every column with its type and meaning
- `table` (string)

### `examples` (~71 tokens)

Examples and SQL tips

Worked examples (a question and SQL that runs here) and the SQL tips: growth maths, history-table patterns, big sound_history days, follows lookups. Pass a table to get only its examples.

Input parameters:

- `table` (string): Only examples on this table, e.g. "sound_history"; omit for all

Output parameters:

- `examples` (array)
- `sql_tips` (string)

### `run_sql` (~85 tokens)

Run SQL

Run one read-only ClickHouse SELECT on tiktok.* and get the rows back (at most 100 per request; 10 s per query). Name the columns you need and add a LIMIT.

Input parameters:

- `sql` (string, required): One ClickHouse SELECT, e.g. SELECT username, followers FROM tiktok.creators WHERE country = 'US' ORDER BY followers DESC LIMIT 10

Output parameters:

- `capped` (boolean): true when the result was cut at the 100-row limit
- `columns` (array)
- `elapsed_ms` (number)
- `rows` (array): One array per row, values in the order of columns
- `rows_read` (number)

## Diagnostics

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

## Score history

- 2026-10-05: 74
- 2026-10-04: 74
- 2026-10-03: 73
- 2026-10-02: 73
- 2026-10-01: 72
- 2026-09-30: 72
- 2026-09-29: 71

## Common questions

### What is the DataSocial MCP server?

DataSocial is an MCP server listed in the public MCP registry as io.github.hashfunction-dev/datasocial-mcp. Query a TikTok data warehouse (creators, videos, sounds, daily history) with read-only SQL. This page covers its hosted endpoint (https://api.datasocial.ai/mcp).

### Is the DataSocial MCP server safe to use?

DataSocial scores 74 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 DataSocial MCP server expose?

DataSocial exposes 4 tools: list_tables, describe_table, examples, run_sql. Their descriptions and schemas cost roughly 244 tokens of context every time the server is loaded.

### Does the DataSocial MCP server require authentication?

Yes. DataSocial asked us for credentials when we connected, so you will need to authorise it in your MCP client before it can do anything.

### Is the DataSocial MCP server still maintained?

DataSocial is still listed as active in the MCP registry. We last reached this channel on 5 October 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://api.datasocial.ai/mcp
- Authorisation metadata: https://api.datasocial.ai/.well-known/oauth-protected-resource/mcp
- Repository: https://github.com/hashfunction-dev/datasocial-mcp
- Website: https://datasocial.ai/
- Changelog RSS feed: https://verifymcp.io/servers/hashfunction-dev-datasocial-mcp/api.xml
- Changelog JSON feed: https://verifymcp.io/servers/hashfunction-dev-datasocial-mcp/api.json
- HTML version of this page: https://verifymcp.io/servers/hashfunction-dev-datasocial-mcp/api