TikTok Video Discovery
TikTok MCP Service provides a robust interface for searching TikTok videos by hashtags and retrieving trending content, with built-in anti-detection measures and error handling. The implementation uses the TikTokApi library with browser automation via Playwright to bypass bot detection, rotating between different browser configurations and geolocation settings to appear more human-like. It offers tools for searching videos by hashtags, handling multi-word searches by splitting them into individual hashtags, and retrieving trending content, making it ideal for content discovery, trend analysis, and social media research applications.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- browser-automation
- Source
- PulseMCP
- Repository
- github.com/yap-audio/tiktok-mcp
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve TikTok Video Discovery from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.