Seym0n/tiktok-mcp
by Various
Model Context Protocol (MCP) with TikTok integration
MCP
Seym0n/tiktok-mcp
Added 1 June 2026
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
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.
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
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