Seym0n/tiktok-mcp

Overview

Seym0n/tiktok-mcp is a JavaScript library that implements the Model Context Protocol (MCP) for TikTok integration. It allows AI agents and LLMs to interact with TikTok data through a standardized protocol, enabling automated content retrieval and analysis.

Best for

Best for
Developers building MCP-based AI agents that need to read TikTok data

Use cases

• Fetching TikTok video metadata and comments for analysis
• Building AI agents that monitor TikTok trends or user activity
• Integrating TikTok data into MCP-compatible development workflows

How to use

Install

npm install

Tested with

Claude Desktop, Cursor

Example client config

{\n  "mcpServers": {\n    "tiktok-mcp": {\n      "command": "node",\n      "args": [\n        "path\\build\\index.js"\n      ],\n      "env": {\n        "TIKNEURON_MCP_API_KEY": "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"\n      }\n    }\n  }\n}

Notes

Seym0n/tiktok-mcp is a JavaScript library that implements the Model Context Protocol (MCP) for TikTok integration. It allows AI agents and LLMs to interact with TikTok data through a standardized protocol, enabling automated content retrieval and analysis.

159 stars on GitHub. Last updated 2026-02-27. Licensed MIT.

Use cases

• Fetching TikTok video metadata and comments for analysis
• Building AI agents that monitor TikTok trends or user activity
• Integrating TikTok data into MCP-compatible development workflows

Pros

• Leverages the MCP standard for interoperability with various AI tools
• Lightweight JavaScript implementation with 159 GitHub stars
• Enables programmatic access to TikTok without manual API handling

Cons

• Limited to TikTok’s public data; no support for posting or private interactions
• Dependent on TikTok’s API stability and rate limits
• Small community and limited documentation beyond the repository

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.