io.github.zhiyu-dev/chenji-affect-mcp

up checked 2026-11-11T02:38:49.733Z

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Publisher-provided title

Chenji Affect

Publisher-provided description

Affect analysis, 3D avatar params, empathy hints and somatic emotion decode.

Summary by lookupd

Analyzes text for emotion vectors and intent, returns empathy response strategies, 3D avatar animation parameters, and emotion labels from…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http chenji-affect https://taichusjs.cn/mcp

Codex, remote (streamable-http)

codex mcp add chenji-affect --url https://taichusjs.cn/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "chenji-affect": {
      "url": "https://taichusjs.cn/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (4 tools)

Publisher-provided text

• analyze_text L1 Affect Extraction: analyze text into an 8-dimensional emotion vector, emotion texture labels, causal intent classification, and a natural-language st
• generate_avatar_params L2 Avatar Driving Pipeline: one call returns blendshape/AU/curve animation parameters, lighting & material atmosphere package, adapter payload, plus the
• empathy_hint L3 Empathy Response Strategy: converts text into a deterministic response strategy (approach, tone temperature, pacing, focus points, avoid-list) for AI
• somatic_decode L4 Somatic Emotion Decode: converts body-sensation text (e.g. tight chest, clenched fists) into structured emotion: primary affect, valence/arousal, emo

Details

• Version: 1.1.0
• Transports: streamable-http
• Uptime (7 days): 78%
• Median latency: 1749 ms
• First indexed: 2026-11-01T10:02:18.436Z
• Last seen in registry: 2026-11-01T10:02:18.453Z
• Repository: https://github.com/zhiyu-dev/chenji-affect-mcp

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