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MCP live MCP 2025-11-25 streamable-http

Chenji Affect

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

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

Watch this dependency Share evidence report
Uptime
100.0%
5 direct probes · 30d
Response
1972ms
last probe
Tools
4
callable
Resources
0
readable
Prompts
0
available
Primary URL
https://taichusjs.cn/mcp
Score: 100/100
Handshake verified by our own probe.
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
4 tools, 0 resources, 0 prompts returned.
pass 3 or more catalogue items 10/10
4 items in total; 3 or more earns these points.
pass Describes itself 10/10
76 characters; more than 30 earns these points.

Tools · 4

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 …

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…

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. D…

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 somati…

How to use

Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://taichusjs.cn/mcp

Cursor or Cline: add to your MCP config:

{
  "mcpServers": {
    "chenji_affect": {
      "url": "https://taichusjs.cn/mcp",
      "transport": "streamable-http"
    }
  }
}