Chenji Affect MCP Server

by zhiyu-dev Your server? Claim it

not responding

Chenji Affect is listed as active in the registry but did not answer our last check. It exposes 4 tools. Last commit 1 Sep 2026.

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

Uptime history 25 days of history · worst day 87%

25 days agonow

93.4%

Uptime 24h

85 of 91 checks

Tools

read from the server

1333 ms

Response time

average over 24h

Stars

last commit 1 Sep 2026

What changed 2

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 1 September 2026. No other catalogue keeps this.

1 Sep 2 tools appeared empathy_hint, somatic_decode

Chenji Affect does not always answer

Over the last week it answered 96.7% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add chenji-affect-mcp --transport http https://taichusjs.cn/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "chenji-affect-mcp": {
      "url": "https://taichusjs.cn/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.chenji-affect-mcp]
url = "https://taichusjs.cn/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "chenji-affect-mcp": {
      "url": "https://taichusjs.cn/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "chenji-affect-mcp": {
      "url": "https://taichusjs.cn/mcp"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

analyze

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'.

empathy

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.

generate

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.

somatic

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 diagnostic tool.

Endpoints

URL	Transport	State	Latency	Checked
https://taichusjs.cn/mcp	streamable-http	answering	20000 ms	10 min ago

Alternatives to Chenji Affect

same job, measured the same way

Pmd

by roeiba

MCP server for PMD static code analyzer - run code analysis and detect duplicates

24 installs/wk local only

Omen

by panbanda

Multi-language code analysis for complexity, debt, hotspots, ownership, and defect prediction

local only

Wspr MCP

by qso-graph

WSPR beacon analytics MCP server. Band openings, path analysis, solar correlation.

62 installs/wk local only

Syke

by khalomsky

AI code impact analysis — dependency graphs, cascade detection, and build gates for AI agents

27 installs/wk local only

Rog0x

by rog0x

HTTP client, JWT decode, header analysis for AI agents

32 installs/wk local only

FindIP

by findip

Semantic patent search & analysis: find, compare, and analyze patents by meaning.

answering

Sem

by ataraxy-labs

Entity-level code intelligence: semantic diff, impact analysis, blame, and context for AI agents

4 400 installs/wk local only

Flyto Indexer

by chesterhsu

Code intelligence MCP server: impact analysis, dependency graphs, dead code detection.

local only

Chenji Affect — questions

Answers built from our own checks of this server.

What can Chenji Affect do?

It exposes 4 tools, read directly from the server on our last check. Among them: analyze_text, empathy_hint, generate_avatar_params, somatic_decode. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Chenji Affect working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 85 of 91 checks got a reply (93.4%), average response time 1333 ms. The bar chart above shows every period we have measured.

The registry lists Chenji Affect as active — why does it not respond?

The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.

How do I connect Chenji Affect?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Chenji Affect need an API key?

No. Chenji Affect completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Chenji Affect?

It answers our handshake in 1333 ms on average, which is faster than 5% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is Chenji Affect open source?

Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.