io.github.zhiyu-dev/chenji-affect-mcp · v1.1.0 · developer-tools
Chenji Affect is healthy: it completed an MCP handshake in 2207 ms and exposes 4 tools.
Affect analysis, 3D avatar params, empathy hints and somatic emotion decode.
Endpoint: https://taichusjs.cn/mcp (streamable-http)
Repository · JSON · Add to my inventory
| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 4 |
| Latency | 2207 ms |
| Last checked (UTC) | 2026-10-15T11:35:09.384Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T11:35:09.384Z | Healthy | 2207 |
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 |