Query a TikTok data warehouse (creators, videos, sounds, daily history) with read-only SQL.
Connect Remote server
claude mcp add --transport http datasocial-mcp https://api.datasocial.ai/mcp --header "Authorization: Bearer <YOUR_API_KEY>"
{
"mcpServers": {
"datasocial-mcp": {
"url": "https://api.datasocial.ai/mcp",
"headers": {
"Authorization": "Bearer <YOUR_API_KEY>"
}
}
}
}
{
"servers": {
"datasocial-mcp": {
"type": "http",
"url": "https://api.datasocial.ai/mcp",
"headers": {
"Authorization": "Bearer <YOUR_API_KEY>"
}
}
}
}
Settings > Connectors > Add custom connector
URL: https://api.datasocial.ai/mcp
Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.
Tools 4 found in our last check
list_tablesThe tables in the DataSocial TikTok warehouse: name, row count, what one row is, and what it holds.
describe_tableOne table's columns with types and meanings, its sort key and coverage. Read it before writing SQL on a table.
examplesWorked examples (a question and SQL that runs here) and the SQL tips: growth maths, history-table patterns, big sound_history days. Pass a table to get only its examples.
run_sqlRun 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.
Headers
| Name | Description |
|---|---|
AuthorizationRequired, secret | Bearer <your key>; free key at datasocial.ai/keys (sign in) |
Details
| Endpoint | https://api.datasocial.ai/mcp (Streamable HTTP) |
| First published | 29 Sep 2026 |
| Last updated | 29 Sep 2026 |
| Registry name | io.github.hashfunction-dev/datasocial-mcp |
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