# BanProof AI (remote · banproof.io)

Audit creator scripts for TikTok Shop and Amazon policy violations. Returns flags and safe rewrites.

- Trust score: 77/100 (medium)
- Change this week: +38
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-20

## Components

- remote · `banproof.io`: 77/100 (this document), [markdown](https://verifymcp.io/servers/nimishrangani-banproof-mcp/banproof.md), [page](https://verifymcp.io/servers/nimishrangani-banproof-mcp/banproof)

## Channel facts

- Endpoint: `https://banproof.io/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, 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 2026-09-20.

- **Endpoint Security**: 66/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 2 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC is configured correctly; the domain's records validate against the full chain to the root.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 78/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 349 tokens (~174/item across 2 items; 2 tools + 0 resources), over budget; trim descriptions and params.
  - 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**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% 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 2 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 3 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 BanProof AI MCP server?

BanProof AI is a hosted endpoint at https://banproof.io/mcp, so there is nothing to install locally. 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 --transport http nimishrangani-banproof-mcp 'https://banproof.io/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "nimishrangani-banproof-mcp": {
      "url": "https://banproof.io/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "nimishrangani-banproof-mcp": {
      "type": "http",
      "url": "https://banproof.io/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.nimishrangani-banproof-mcp]
url = "https://banproof.io/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "nimishrangani-banproof-mcp": {
      "type": "remote",
      "url": "https://banproof.io/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add nimishrangani-banproof-mcp --url 'https://banproof.io/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  nimishrangani-banproof-mcp:
    url: "https://banproof.io/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "nimishrangani-banproof-mcp": {
      "Transport": "http",
      "Url": "https://banproof.io/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add nimishrangani-banproof-mcp -t streamable-http -u 'https://banproof.io/mcp'
```

### Other

```json
{
  "mcpServers": {
    "nimishrangani-banproof-mcp": {
      "type": "http",
      "url": "https://banproof.io/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## 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.

### 2026-09-19 (score 77, +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.

### 2026-09-17 (score 76, +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.

### 2026-09-15 (score 75, +36)

- [security regression] Authorization: pass → unverified
- [security improvement] Transport: unverified → pass
- [security improvement] Injection markers: unverified → pass
- [functional improvement] Endpoint reachability: behind authorisation → reachable
- [functional improvement] Stability: unverified → 0.47
- [functional improvement] MCP protocol: unverified → pass
- [functional improvement] Tool coverage: unverified → 100

### 2026-09-12 (score 39, −34)

- [security regression] Endpoint reachability: reachable → behind authorisation
- [security regression] Tool safety: pass → unverified
- [security regression] Stability: 0.33 → unverified
- [security regression] Transport: pass → unverified
- [security improvement] Authorization: unverified → pass
- [functional regression] Capabilities: pass → unverified
- [functional regression] Tool coverage: 100 → unverified
- [functional] Schema quality: Schema blocked by authentication: the endpoint requires auth we don't have to read it.

### 2026-09-10 (score 73, +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.

### 2026-09-08 (score 72, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-06 (score 71, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-04 (score 70, 0)

- [security] The server rewrote its instructions, which are the text every model session reads
- [security] Tool “audit_script” rewrote its description, which is the text the model reads
- [functional regression] Schema quality: pass → fail
- [functional] Server version: 0.1.0 → 0.2.0
- [functional] New tool “generate_appeal”
- [cosmetic] “audit_script” added an optional parameter “product_url”

## MCP tools (2)

### `audit_script` (~131 tokens)

Audit script for policy violations

Audit a TikTok Shop or Amazon affiliate video script for policy violations. Detects: medical claims, guarantees, false certifications, unproven efficacy, urgency/scarcity language, fake social proof, income claims, and missing FTC disclosures (#ad/#sponsored). Returns flagged phrases, reasons, safe rewrites, and an overall risk level.

Input parameters:

- `product_url` (string): Optional: URL of the product page being promoted. When provided, the script is cross-checked against the actual product claims — overclaims are flagged as additional violations.
- `script` (string, required): The full video script text to audit.

### `generate_appeal` (~98 tokens)

Generate platform violation appeal

Generate a ready-to-submit appeal response for a TikTok, Amazon, or YouTube policy violation notice. Stays within TikTok's 800-character appeal limit. Paste the violation notice text you received and specify the platform.

Input parameters:

- `platform` (string, required): The platform that issued the violation: tiktok, amazon, or youtube.
- `violation_notice` (string, required): The full text of the violation notice or strike you received from the platform.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/nimishrangani-banproof-mcp/banproof#diagnostics

## Score history

- 2026-09-20: 77
- 2026-09-19: 77
- 2026-09-18: 76
- 2026-09-17: 76
- 2026-09-16: 75
- 2026-09-15: 75
- 2026-09-14: 39
- 2026-09-13: 39
- 2026-09-12: 39
- 2026-09-11: 73
- 2026-09-10: 73
- 2026-09-09: 72
- 2026-09-08: 72
- 2026-09-07: 71
- 2026-09-06: 71
- 2026-09-05: 70
- 2026-09-04: 70
- 2026-09-03: 70
- 2026-09-02: 69
- 2026-09-01: 69
- 2026-08-31: 39
- 2026-08-30: 38
- 2026-08-29: 39
- 2026-08-28: 39
- 2026-08-27: 39
- 2026-08-26: 39
- 2026-08-25: 39
- 2026-08-24: 39
- 2026-08-23: 39
- 2026-08-22: 16

## Common questions

### What is the BanProof AI MCP server?

BanProof AI is an MCP server listed in the public MCP registry as io.github.NimishRangani/banproof-mcp. Audit creator scripts for TikTok Shop and Amazon policy violations. Returns flags and safe rewrites. This page covers its hosted endpoint (https://banproof.io/mcp).

### Is the BanProof AI MCP server safe to use?

BanProof AI scores 77 out of 100 on VerifyMCP. 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 BanProof AI MCP server expose?

BanProof AI exposes 2 tools: audit_script, generate_appeal. Their descriptions and schemas cost roughly 229 tokens of context every time the server is loaded.

### Does the BanProof AI MCP server require authentication?

No. We connected to BanProof AI without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the BanProof AI MCP server still maintained?

BanProof AI is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://banproof.io/mcp
- Repository: https://github.com/NimishRangani/banproof-mcp
- Changelog RSS feed: https://verifymcp.io/servers/nimishrangani-banproof-mcp/banproof.xml
- Changelog JSON feed: https://verifymcp.io/servers/nimishrangani-banproof-mcp/banproof.json
- HTML version of this page: https://verifymcp.io/servers/nimishrangani-banproof-mcp/banproof