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BanProof AI MCP Server

by nimishrangani Your server? Claim it
answering

BanProof AI is answering right now. Last checked 1 min ago. It exposes 2 tools. Last commit 11 Sep 2026.

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

Uptime history 37 days of history
37 days agonow
100.0%
Uptime 24h
92 of 92 checks
2
Tools
read from the server
808 ms
Response time
average over 24h
0
Stars
last commit 11 Sep 2026

What changed 4

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 4 September 2026. No other catalogue keeps this.

4 Sep a tool appeared generate_appeal
4 Sep a tool description was rewritten audit_script
4 Sep a tool changed the parameters it asks for audit_script
4 Sep a tool changed version

Nothing serious here today

Today is the operative word: we check BanProof AI every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 1 min ago.

run in your terminal
claude mcp add banproof-mcp --transport http https://banproof.io/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "banproof-mcp": {
      "url": "https://banproof.io/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.banproof-mcp]
url = "https://banproof.io/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "banproof-mcp": {
      "url": "https://banproof.io/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "banproof-mcp": {
      "url": "https://banproof.io/mcp"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

audit
audit_script
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.
generate
generate_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.

Endpoints

URLTransportStateLatencyChecked
https://banproof.io/mcp streamable-http answering 1568 ms 1 min ago

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BanProof AI — questions

Answers built from our own checks of this server.

What can BanProof AI do?
It exposes 2 tools, read directly from the server on our last check. Among them: audit_script, generate_appeal. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is BanProof AI working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 808 ms. The bar chart above shows every period we have measured.
How do I connect BanProof AI?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does BanProof AI need an API key?
No. BanProof AI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is BanProof AI?
It answers our handshake in 808 ms on average, which is faster than 13% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is BanProof AI open source?
Yes — it is published under the MIT licence and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.