How do I connect an AI agent to AI 内容合规检查（广告法违禁词 + AI 标识）?

Use the MCP streamable HTTP endpoint https://mcp.wanhetools.top/mcp.

Catalog › io.github.Wh-bi/wanhe-compliance

Is AI 内容合规检查（广告法违禁词 + AI 标识） reliable?

Being measured Measurement in progress: 2 check(s) so far. A verdict needs at least 3 checks.

Last check: 2026-10-07 19:30 UTC · answered in 8000 ms · remote (no install)

En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

中文内容合规检查：广告法违禁词 + AI 标识规则，逐条给出法条依据。Chinese content compliance: ad-law banned terms + AI labeling.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.1.3 · publisher website

Connect your agent

{
  "mcpServers": {
    "wanhe-compliance": {
      "url": "https://mcp.wanhetools.top/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.Wh-bi/wanhe-compliance"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-07 19:30 UTC	❌ timeout		8000 ms
2026-10-07 08:00 UTC	✅ ok	—	5997 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Publisher of AI 内容合规检查（广告法违禁词 + AI 标识）?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.Wh-bi/wanhe-compliance.svg)](https://faceabot.com/tools/io.github.Wh-bi/wanhe-compliance)

Data in JSON: /api/catalog?id=io.github.Wh-bi/wanhe-compliance · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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