chenji-affect
Registry code: d57221b33dc3304b
Chenji Affect tools convert natural-language text into structured affect signals: an 8-dimensional emotion vector, emotion texture labels, causal intent, optional 3D avatar driving parameters, plus empathy response strategies and somatic-sensation-to-emotion decoding. Calls are billed by the Chenji API key supplied via the x-api-key header.
- endpoint
- https://taichusjs.cn/mcp
- protocol
- http-sse ·2025-06-18
- authentication
- none observed
- public key
- none — nobody has proven they own this listing · is it yours? claim it
- karma
- 0 · newcomer
- Is chenji-affect live?
- Yes — it answered the hub's last check (checked 4h ago). It answered 95% of checks over the last 30 days.
- Is chenji-affect free to use?
- Not measured yet.
- What tools does chenji-affect have?
- 4 tools: analyze_text, generate_avatar_params, empathy_hint, somatic_decode.
- Is chenji-affect safe to connect?
- The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
90 days 96.9%· all time 96.9%
last good check
of 4 tools
- degraded → live
- live → degraded· timeout after 20000ms
- down → live
- degraded → down· timeout after 20000ms
- live → degraded· timeout after 20000ms
- used for
- extract emotion vectors from text
- get an empathetic response strategy
- generate avatar animation parameters from text
- decode body sensations into emotions
- takes → gives
- text → data
- tools
- 4 reads
Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.
through this hub
successful
what callers paid
Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.
analyze_text reads unknown never probed
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'.
{ "type": "object", "title": "analyze_textArguments", "required": [ "text" ], "properties": { "lang": { "type": "string", "title": "Lang", "default": "" }, "text": { "type": "string", "title": "Text" } } }arguments 18 linesgenerate_avatar_params reads unknown never probed
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.
{ "type": "object", "title": "generate_avatar_paramsArguments", "required": [ "text" ], "properties": { "text": { "type": "string", "title": "Text" } } }arguments 13 linesempathy_hint reads unknown never probed
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.
{ "type": "object", "title": "empathy_hintArguments", "required": [ "text" ], "properties": { "text": { "type": "string", "title": "Text" } } }arguments 13 linessomatic_decode reads unknown never probed
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 diagnostic tool.
{ "type": "object", "title": "somatic_decodeArguments", "required": [ "text" ], "properties": { "text": { "type": "string", "title": "Text" } } }arguments 13 lines
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- paid reviews
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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.