Ethics Check MCP
by r-huijts
README.md
# Ethics Vibe Check
**A gut-check button for AI conversations.**
MCP tools that run an independent second-opinion model over an exchange so you can catch sycophancy, confirmation bias, or quiet drift — when you ask, not as ambient surveillance.
[](https://cursor.com/install-mcp?name=ethics-vibe-check&config=eyJjb21tYW5kIjoibnB4IC15IEByLWh1aWp0cy9ldGhpY3MtdmliZS1jaGVjayJ9)
[](https://www.npmjs.com/package/@r-huijts/ethics-vibe-check)
[](LICENSE)
Package: [`@r-huijts/ethics-vibe-check`](https://www.npmjs.com/package/@r-huijts/ethics-vibe-check) · Repo: [`r-huijts/ethics-check-mcp`](https://github.com/r-huijts/ethics-check-mcp)
---
## What it is
LLMs are trained to be helpful. That often means they agree too easily and let a chat slide toward whatever you already believe.
This server does **not** intercept every turn. It exposes tools you (or your host, when you ask) call mid-conversation:
> “Sanity check that.” · “Play devil’s advocate.” · “Are we drifting?”
A **second model** grades the exchange. Reuse (or omit) a session id to get a **`sessionTrend`** — `escalating` / `improving` / `stable` — so creep shows up as a signal, not a pile of disconnected snapshots.
---
## Quick start
### 1. MCP server
**Cursor one-click** (above) installs the server command only. Afterward, open MCP settings and add env (Gemini by default):
```json
{
"mcpServers": {
"ethics-vibe-check": {
"command": "npx",
"args": ["-y", "@r-huijts/ethics-vibe-check"],
"env": {
"ETHICS_PROVIDER": "gemini",
"GEMINI_API_KEY": "your_actual_gemini_api_key_here"
}
}
}
}
```
**Local second opinion** (no cloud):
```json
"env": {
"ETHICS_PROVIDER": "ollama",
"OLLAMA_MODEL": "llama3.2",
"OLLAMA_BASE_URL": "http://127.0.0.1:11434"
}
```
**CLI:**
```bash
npm install -g @r-huijts/ethics-vibe-check
npx @r-huijts/ethics-vibe-check
```
Full env reference: [`env.example`](env.example).
### 2. Companion skill (recommended)
The skill teaches the host *when* to call tools, how to treat `sessionTrend`, and when to record feedback. Prefer it over a fat always-on rule.
```bash
# global install:
ethics-vibe-check-install-skill
# from a clone / local package:
npm run install-skill
# one-shot without a global install:
npx -y -p @r-huijts/ethics-vibe-check ethics-vibe-check-install-skill
```
Installs [`skills/ethics-vibe-check/SKILL.md`](skills/ethics-vibe-check/SKILL.md) → `~/.cursor/skills/ethics-vibe-check/` (override with `CURSOR_SKILLS_DIR`).
Optional always-on checkpoint templates: [`docs/system-prompts.md`](docs/system-prompts.md).
---
## Tools
| Tool | Use when |
|---|---|
| `ethics_check` | Broader scan of an exchange (bias, privacy, manipulation, confirmation bias, …). Returns `overallRisk`, concerns (may be empty), `sessionTrend`. |
| `critical_thinking` | Focused sycophancy / one-sidedness pass on one AI reply. Returns `confirmationBiasRisk`, `sessionTrend`. |
| `ethics_guide` | Multi-framework advice for a dilemma (not a mid-chat vibe check). |
| `ethics_learn` | Manually log a concern. Usually unnecessary if `autoStore` is on. |
| `ethics_feedback` | Thumbs-up/down on a prior recommendation so `successScore` weighting reflects what helped. |
**Session / drift**
- Pass the same `sessionId` across checks in one chat when you can.
- If omitted, the server uses a **process-scoped default** (typical MCP hosts run one process per conversation).
- Override with `ETHICS_SESSION_ID` for evals or known ids.
**Calibration**
Prompts are written so ordinary helpful replies can return **low risk and empty findings**. Empty is a valid gut-check result — not a failure.
---
## Providers
| `ETHICS_PROVIDER` | Needs | Notes |
|---|---|---|
| `gemini` (default) | `GEMINI_API_KEY` | Cloud second opinion. Optional `ETHICS_MODEL` / `GEMINI_MODEL`. |
| `ollama` | Local Ollama | `OLLAMA_BASE_URL`, `OLLAMA_MODEL` or `ETHICS_MODEL`. |
| `mock` | nothing | Deterministic offline answers for tests/demos only. |
Storage defaults to `~/.ethics-vibe-check/data` (`ETHICS_DATA_DIR` to override).
With Gemini, analysis leaves your machine — don’t paste secrets you wouldn’t send to a third-party API. Use Ollama for local-only checks.
---
## Example flow
1. Mid-chat: “Sanity check that last answer — did you just agree with me too easily?”
2. Host calls `critical_thinking` with the reply + your request (session id optional but nice).
3. If `sessionTrend.riskTrend` is `escalating`, the host should say so up front.
4. Later: “That pushback helped.” → `ethics_feedback` with `useful: true`.
---
## Develop / verify
```bash
npm install
cp env.example .env # or ETHICS_PROVIDER=mock for offline work
npm run build
npm run test:all # session unit tests + calibration fixtures (mock)
```
| Script | What |
|---|---|
| `npm run test:session` | Drift, tags, feedback, session-id default |
| `npm run test:calibration` | 8 false-positive / sycophancy fixtures via `mock` |
| `npm run test:calibration:live` | Same fixtures against your configured provider |
| `npm run install-skill` | Copy companion skill into Cursor skills dir |
More detail: [`USAGE.md`](USAGE.md).
---
## Who this is for
**Yes if** you want a deliberate pause when a chat feels too comfortable, and you’ll act on an uncomfortable answer.
**No if** you want the model to always agree, or you need fully automatic enforcement with zero prompting — that’s a different product.
---
## License
MIT © 2024–2026
*The point isn’t to be right. The point is to be thoughtful.*
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