# Raposa Aval — human approval (pypi · raposa-mcp)

Human approval for AI agents: a named person approves or rejects, silence is not consent.

- Trust score: 59/100 (low)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-22

## Components

- pypi · `raposa-mcp`: 59/100 (this document), [markdown](https://verifymcp.io/servers/group-raposa-raposa-mcp/raposa-mcp.md), [page](https://verifymcp.io/servers/group-raposa-raposa-mcp/raposa-mcp)

## Channel facts

- Registry: `pypi`
- Package: `raposa-mcp`
- Version: `0.1.1`
- 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 2026-09-22.

- **Supply Chain Security**: 50/100
  - Malware scan not yet available for this package.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it.
  - 0 of 29 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 32/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - License check failed: the license (MIT License) isn't a recognized OSI-approved license.
  - Actively maintained (last published 18 days ago).
  - Security-disclosure policy not yet verified: we couldn't inspect the source repository.
- **Schema Quality & AI Usability**: 74/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 281 tokens (~93/item across 3 items; 3 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 63/100
  - Stability observed for 19 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the Raposa Aval — human approval MCP server?

Raposa Aval — human approval runs locally as a PyPI package, launched with uvx raposa-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 group-raposa-raposa-mcp -- uvx raposa-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "group-raposa-raposa-mcp": {
      "command": "uvx",
      "args": [
        "raposa-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "group-raposa-raposa-mcp": {
      "command": "uvx",
      "args": [
        "raposa-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add group-raposa-raposa-mcp -- uvx raposa-mcp
```

### opencode

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

### OpenClaw

```bash
openclaw mcp add group-raposa-raposa-mcp --command uvx --arg raposa-mcp
```

### Hermes

```yaml
mcp_servers:
  group-raposa-raposa-mcp:
    command: "uvx"
    args: ["raposa-mcp"]
```

### Netclaw

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

### Vellum

```bash
assistant mcp add group-raposa-raposa-mcp -t stdio -c uvx -a raposa-mcp
```

### Other

```json
{
  "mcpServers": {
    "group-raposa-raposa-mcp": {
      "command": "uvx",
      "args": [
        "raposa-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.

### 2026-09-22 (score 59, 0)

- [functional regression] Security disclosure: fail → unverified

### 2026-09-21 (score 59, +1)

No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-19 (score 58, +1)

No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-17 (score 57, +1)

No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-14 (score 56, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-12 (score 55, +1)

No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-10 (score 54, +4)

- [functional improvement] Stability: unverified → 0.23

### 2026-09-07 (score 50, −15)

- [security regression] Malware scan: pass → unverified

## MCP tools (3)

### `create_approval` (~85 tokens)

Create an approval request and return its id immediately (no waiting).
Use with a webhook_url, or poll with get_approval. risk: low | medium | high.

Input parameters:

- `action` (string, required)
- `context` (string, required)
- `expires_in_sec`
- `requested_by` (string)
- `risk` (string, required)
- `webhook_url`

Output parameters:

- `result` (string)

### `get_approval` (~38 tokens)

Read an approval by id. Look at `approved` — it is true only when a human approved.

Input parameters:

- `approval_id` (string, required)

Output parameters:

- `result` (string)

### `request_human_approval` (~110 tokens)

Ask an authorised human to approve an action and wait for the answer.
Returns {approved: bool, status, decided_by, ...}. Proceed ONLY if approved is true —
a timeout, an expiry or a rejection means do not proceed. risk: low | medium | high.

Input parameters:

- `action` (string, required)
- `context` (string, required)
- `expires_in_sec`
- `requested_by` (string)
- `risk` (string, required)
- `wait_sec` (integer)

Output parameters:

- `result` (string)

## Diagnostics

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

## Score history

- 2026-09-22: 59
- 2026-09-21: 59
- 2026-09-20: 58
- 2026-09-19: 58
- 2026-09-18: 57
- 2026-09-17: 57
- 2026-09-16: 56
- 2026-09-15: 56
- 2026-09-14: 56
- 2026-09-13: 55
- 2026-09-12: 55
- 2026-09-11: 54
- 2026-09-10: 54
- 2026-09-09: 50
- 2026-09-08: 50
- 2026-09-07: 50
- 2026-09-06: 65
- 2026-09-05: 50
- 2026-09-04: 50
- 2026-09-03: 50

## Common questions

### What is the Raposa Aval — human approval MCP server?

Raposa Aval — human approval is an MCP server listed in the public MCP registry as group.raposa/raposa-mcp. Human approval for AI agents: a named person approves or rejects, silence is not consent. This page covers its PyPI package (raposa-mcp).

### Is the Raposa Aval — human approval MCP server safe to use?

Raposa Aval — human approval scores 59 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 22 September 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 Raposa Aval — human approval MCP server expose?

Raposa Aval — human approval exposes 3 tools: create_approval, get_approval, request_human_approval. Their descriptions and schemas cost roughly 233 tokens of context every time the server is loaded.

### Is the Raposa Aval — human approval MCP server still maintained?

Raposa Aval — human approval is still listed as active in the MCP registry. We last reached this channel on 22 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

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