DataSocial MCP MCP server

An official MCP server provided by DataSocial that allows AI agents to query a public TikTok data warehouse containing billions of creators, videos, and sounds. It supports read-only SQL queries to retrieve data on creator metrics, video history, sound trends, and social graphs, with a 100-row limit per request.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by DataSocial

MCP endpoint (Streamable HTTP)

https://api.datasocial.ai/mcp

Vendor documentation

What you can do with it

Query TikTok creator follower counts and demographics
Analyze daily video view history for specific creators
Identify trending sounds based on usage growth
Retrieve social graph data on creator follow relationships

Tools advertised by the last live check:

list_tables
describe_table
examples
run_sql

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http datasocial-mcp https://api.datasocial.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add datasocial-mcp --url https://api.datasocial.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable datasocial-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "datasocial-mcp": {
      "url": "https://api.datasocial.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "datasocial-mcp": {
      "type": "streamableHttp",
      "url": "https://api.datasocial.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start datasocial-mcp and inspect its tools.

VS Code configuration

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

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http datasocial-mcp https://api.datasocial.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "datasocial-mcp": {
      "url": "https://api.datasocial.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "datasocial-mcp": {
      "serverUrl": "https://api.datasocial.ai/mcp"
    }
  }
}

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