Connect-MCP

Chenji Affect

io.github.zhiyu-dev/chenji-affect-mcp · v1.1.0

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

MCPremoteAPI keyAI & LLMCRM & salesHealth

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 4 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 65/100

What it does: 4 tools · 1 read, 1 write · AI & LLM, CRM & sales, Health

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +2
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: 0
  • Read/write annotations: 0
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://taichusjs.cn/mcp

Tools

4 tools listed at last check
  • analyze_text L1 Affect Extraction: analyze text into an 8-dimensional emotion vector, emotion texture labels, causal intent classification, and a natural-language state description. text: input up to 2000 chars. lang: optional 'zh' or 'en'.
  • generate_avatar_params L2 Avatar Driving Pipeline: one call returns blendshape/AU/curve animation parameters, lighting & material atmosphere package, adapter payload, plus the upstream L1 affect analysis. Requires a key tier that includes L2.
  • empathy_hint L3 Empathy Response Strategy: converts text into a deterministic response strategy (approach, tone temperature, pacing, focus points, avoid-list) for AI companions and conversational agents. Deterministic table lookup, no LLM, ~20ms; privacy-first. Not a medical or therapeutic tool.
  • somatic_decode L4 Somatic Emotion Decode: converts body-sensation text (e.g. tight chest, clenched fists) into structured emotion: primary affect, valence/arousal, emotion texture, causal intent, plus somatic anchor cues. Grounded in the somatic decoding discipline; wellness simulation only, not a diag

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Repository