# Feel Lab (pypi · feellab-mcp)

An FPS feel checklist, measured from a timeline any game's probe can write

- Trust score: 65/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-17

## Components

- pypi · `feellab-mcp`: 65/100 (this document), [markdown](https://verifymcp.io/servers/hpdkhoa-feellab-mcp/feellab-mcp.md), [page](https://verifymcp.io/servers/hpdkhoa-feellab-mcp/feellab-mcp)

## Channel facts

- Registry: `pypi`
- Package: `feellab-mcp`
- Version: `0.1.0`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-10-17.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs hatchling.build at install time, a recognised build step with no custom scripting around it.
  - 1 of 28 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 1 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 55/100
  - AI-judged instruction clarity (fair).
  - Tool/resource definitions use about 399 tokens (~66/item across 6 items; 6 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 78/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 33% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### How do I install the Feel Lab MCP server?

Feel Lab runs locally as a PyPI package, launched with uvx feellab-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add hpdkhoa-feellab-mcp -- uvx feellab-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "hpdkhoa-feellab-mcp": {
      "command": "uvx",
      "args": [
        "feellab-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "hpdkhoa-feellab-mcp": {
      "command": "uvx",
      "args": [
        "feellab-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add hpdkhoa-feellab-mcp -- uvx feellab-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "hpdkhoa-feellab-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "feellab-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add hpdkhoa-feellab-mcp --command uvx --arg feellab-mcp
```

### Hermes

```yaml
mcp_servers:
  hpdkhoa-feellab-mcp:
    command: "uvx"
    args: ["feellab-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "hpdkhoa-feellab-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "feellab-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add hpdkhoa-feellab-mcp -t stdio -c uvx -a feellab-mcp
```

### Other

```json
{
  "mcpServers": {
    "hpdkhoa-feellab-mcp": {
      "command": "uvx",
      "args": [
        "feellab-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-10-17 (score 65, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-10-16 (score 50, −15)

- [security regression] Malware scan: pass → unverified

### 2026-10-15 (score 65)

First indexed and scored.

## MCP tools (6)

### `list_checklist` (~48 tokens)

The checklist: every interaction, what the player should get, and how it is checked (measured or by a person).

Input parameters:

- `group`: A to J, or leave out for all

### `list_scenes` (~28 tokens)

The standard scenes a probe plays, one timeline each, and what each asks it to do.

### `list_metrics` (~33 tokens)

Every metric: its scene, unit, which way is better, its rule and the rule's source (estimate or evidence).

### `check_timeline` (~37 tokens)

A timeline file against the contract (feellab-timeline/1): every problem, or none.

Input parameters:

- `path` (string, required)

### `judge_folder` (~63 tokens)

Each subject's scenes judged against the checklist: every measured item's values, rules and verdict, a
summary, and a Markdown report written beside them.

Input parameters:

- `folder` (string, required): a folder of <subject>_<scene>_timeline.json files
- `subject`

### `gate_rows` (~44 tokens)

The metrics as rows for a gate (Weapon Lab's row format): subject, scene, metric, value.

Input parameters:

- `folder` (string, required)
- `subject` (string, required)

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/hpdkhoa-feellab-mcp/feellab-mcp#diagnostics

## Score history

- 2026-10-17: 65
- 2026-10-16: 50
- 2026-10-15: 65

## Common questions

### What is the Feel Lab MCP server?

Feel Lab is an MCP server listed in the public MCP registry as io.github.hpdkhoa/feellab-mcp. An FPS feel checklist, measured from a timeline any game's probe can write. This page covers its PyPI package (feellab-mcp).

### Is the Feel Lab MCP server safe to use?

Feel Lab scores 65 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 17 October 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Feel Lab MCP server expose?

Feel Lab exposes 6 tools: list_checklist, list_scenes, list_metrics, check_timeline, judge_folder, gate_rows. Their descriptions and schemas cost roughly 253 tokens of context every time the server is loaded.

### Is the Feel Lab MCP server still maintained?

Feel Lab is still listed as active in the MCP registry. We last reached this channel on 17 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the Feel Lab MCP server under?

Feel Lab declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- PyPI project: https://pypi.org/project/feellab-mcp/
- Socket report: https://socket.dev/pypi/package/feellab-mcp
- Repository: https://github.com/hpdkhoa/feellab-mcp
- Changelog RSS feed: https://verifymcp.io/servers/hpdkhoa-feellab-mcp/feellab-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/hpdkhoa-feellab-mcp/feellab-mcp.json
- HTML version of this page: https://verifymcp.io/servers/hpdkhoa-feellab-mcp/feellab-mcp