Hooklayer
**Live TikTok creator intelligence for AI agents.** Hooklayer pulls real performance data from any TikTok handle in seconds: viral DNA scoring, replicability analysis, top-performing video breakdowns, format fingerprints, hook patterns, and a stealable steal_map. **7 MCP tools that chain automatically:** - **analyze_account** (5 credits) — TikTok creator deep dive. Returns viral_dna, steal_map, format_fingerprint, top 5 videos, content_gaps, and a `recommended_chain` field that pre-fills the next 3 tool calls. **The agentic anchor.** - **score_hook** (1 credit) — Score any hook 0-100 against proven viral patterns. Returns 3 rewrites at higher quality. - **viral_remix** (3 credits) — URL or transcript → fresh scene-by-scene script with mirrored viral DNA. - **trend_pulse** (1 credit) — Rising opportunities + saturated patterns per niche. - **find_viral_template** (1 credit) — Niche-fit ranked templates with hook patterns and example URLs. - **match_voice** (2 credits) — Extract a creator's voice DNA, rewrite a draft in their style. - **predict_virality** (2 credits) — Score a draft script for viral potential before publishing. **The agentic chain pattern:** call `analyze_account` once → agent reads `recommended_chain` → fires the next 3 tools with params pre-filled. No prompt engineering, no glue code. **Auth:** Bearer (`hl_live_*`) OR OAuth 2.1 + PKCE + Dynamic Client Registration. RFC 8414, 9728, 7591, 6750, 7636 compliant. **Free tier:** 100 lifetime credits, no card required. Mint instantly at https://hooklayer.dev/auth/signup **Paid tiers:** $49 Starter / $149 Pro (most popular) / $499 Agency. 20% annual discount. Listed on the [Anthropic Official MCP Registry](https://registry.modelcontextprotocol.io) as `io.github.khan-ashifur/hooklayer` v1.0.0. **Docs:** https://hooklayer.dev/docs **Playground:** https://hooklayer.dev/playground **GitHub:** https://github.com/khan-ashifur/hooklayer
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 2026-08-30.
Scan details: Circle-IR · 2026-08-30 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- version-control
- Source
- Smithery
- Author type
- human
- Last scanned
- 2026-08-30
- Updated
- 2026-08-30
Use via MCP
Resolve Hooklayer 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.