Chenji Affect
by taichusjs.cn in Other
Affect analysis, 3D avatar params, empathy hints and somatic emotion decode.
https://taichusjs.cn/mcp- Tools
- 4
- open to any client
- Uptime
- 96.9%
- last 30 days
- Response time
- 952 ms
- 1.3 s slowest 5%
- Last check
- Passed
- 3 h ago, next in 3 h
Reliability
Status and outage history · Atom feed · Watch with other listings
How to connect
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"chenji-affect": {
"type": "http",
"url": "https://taichusjs.cn/mcp"
}
}
}4 tools
- 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…
- 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…
Security scan
No findings
We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 3 h ago | Passed | 200 | 921 ms |
| 15 h ago | Passed | 200 | 963 ms |
| 26 h ago | Passed | 200 | 994 ms |
| 36 h ago | Passed | 200 | 889 ms |
| 47 h ago | Passed | 200 | 994 ms |
Show 10 older checks
| 2 days ago | Passed | 200 | 932 ms |
| 3 days ago | Passed | 200 | 1.1 s |
| 3 days ago | Passed | 200 | 1.2 s |
| 4 days ago | Passed | 200 | 1.0 s |
| 4 days ago | Passed | 200 | 1.3 s |
| 4 days ago | Passed | 200 | 1.1 s |
| 5 days ago | Passed | 200 | 739 ms |
| 5 days ago | Passed | 200 | 753 ms |
| 6 days ago | Passed | 200 | 725 ms |
| 6 days ago | Passed | 200 | 958 ms |