emotion-mcp (yaoxiaolinglong/emotion-mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 10 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100
5 days ago

emotion-mcp

Provides a dynamic emotion simulation system for AI character roleplay, based on Freudian psychodynamics, that analyzes dialogue content via LLM to adjust emotional metrics in real-time.

→ yaoxiaolinglong/emotion-mcp· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

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Who stands behind it

yaoxiaolinglong

Source: Glama

Is this your MCP?

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Install from

Glama

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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 1 credential: EMOTION_LLM_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configEMOTION_DATA_DIR
configEMOTION_DEBUG
configEMOTION_INITIAL_AFFECTION初始好感度 (0-100)
configEMOTION_INITIAL_AGGRESSION_OTHER
configEMOTION_INITIAL_AGGRESSION_SELF
configEMOTION_INITIAL_LIBIDO_OTHER
configEMOTION_INITIAL_LIBIDO_SELF
configEMOTION_LLM_API_BASEAPI 地址
🔐 secretEMOTION_LLM_API_KEY如果配置了 ，可用 emotion_analyze 一步完成：
configEMOTION_LLM_MODEL模型名（建议轻量模型）
configEMOTION_SENSITIVITY情绪敏感度 (0-100)
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

10/10 tools missing one or more hints — emotion_get_panel (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); emotion_get_emotion_prompt (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); emotion_get_status (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +7 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tests exist

No test files found

Add tests that exercise each declared tool.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/yaoxiaolinglong/emotion-mcp)](https://m8ven.ai/mcp/yaoxiaolinglong/emotion-mcp)
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commit: 494d79c91f52791063f02b41d5e569908bb74495
code hash: 4f88f7eeb6b0f1f51bd07c0a7c97243102bc6fbe4aff6e653b07539ad4822047
verified: 9/5/2026, 8:04:13 PM
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