# 中文 AI 可引用性（GEO/AEO）体检 (remote · savantcat.cn)

中文站能否被豆包/DeepSeek/文心/Kimi 抓取、读懂、引用：可引用性审计、信源池占位探测、五大指标测量、修复计划

- Trust score: 73/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-21

## Components

- remote · `savantcat.cn`: 73/100 (this document), [markdown](https://verifymcp.io/servers/cn-savantcat-geo-cn/mcp-geo.md), [page](https://verifymcp.io/servers/cn-savantcat-geo-cn/mcp-geo)

## Channel facts

- Endpoint: `https://savantcat.cn/mcp-geo`
- 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 2026-09-21.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 78/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 1043 tokens (~149/item across 7 items; 4 tools + 3 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 7/100
  - Stability observed for 2 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 4 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 6 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).

## Install

### How do I install the 中文 AI 可引用性（GEO/AEO）体检 MCP server?

中文 AI 可引用性（GEO/AEO）体检 is a hosted endpoint at https://savantcat.cn/mcp-geo, 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 cn-savantcat-geo-cn 'https://savantcat.cn/mcp-geo'
```

### Cursor

```json
{
  "mcpServers": {
    "cn-savantcat-geo-cn": {
      "url": "https://savantcat.cn/mcp-geo"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "cn-savantcat-geo-cn": {
      "type": "http",
      "url": "https://savantcat.cn/mcp-geo"
    }
  }
}
```

### Codex

```toml
[mcp_servers.cn-savantcat-geo-cn]
url = "https://savantcat.cn/mcp-geo"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "cn-savantcat-geo-cn": {
      "type": "remote",
      "url": "https://savantcat.cn/mcp-geo",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add cn-savantcat-geo-cn --url 'https://savantcat.cn/mcp-geo' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  cn-savantcat-geo-cn:
    url: "https://savantcat.cn/mcp-geo"
```

### Netclaw

```json
{
  "McpServers": {
    "cn-savantcat-geo-cn": {
      "Transport": "http",
      "Url": "https://savantcat.cn/mcp-geo"
    }
  }
}
```

### Vellum

```bash
assistant mcp add cn-savantcat-geo-cn -t streamable-http -u 'https://savantcat.cn/mcp-geo'
```

### Other

```json
{
  "mcpServers": {
    "cn-savantcat-geo-cn": {
      "type": "http",
      "url": "https://savantcat.cn/mcp-geo"
    }
  }
}
```

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.

### 2026-09-21 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-20 (score 72, 0)

- [functional improvement] Stability: unverified → 0.03

### 2026-09-19 (score 72)

First indexed and scored.

## MCP tools (4)

### `audit_cn_citability` (~199 tokens)

审计一个网站/页面能否被中文 AI 搜索（豆包、DeepSeek、文心、Kimi 等）抓取、解析与引用。

    一次抓取完成六层检查：可抓取（含中国爬虫矩阵与边缘层拦截实测）、可解析、可引用、
    实体一致、分发、可信可自验；返回 0-100 分与 A-F 等级、逐项证据、优先修复清单。
    用途场景：客户站点体检、上线前自检；传 compare_with 可做竞品对比（逐层与逐项差异）。
    注意：只做确定性检查，不调用大模型；评分口径见 scoring_version。

Input parameters:

- `compare_with` (string)
- `include_raw` (boolean)
- `url` (string, required)

Output parameters:

- `result` (string)

### `probe_source_pool` (~198 tokens)

探测一个中文问题在信源池里的实际占位分布，并判断你的品牌/域名是否在池子里。

    原理：AI 答案只能引用「已进入检索池」的来源。若目标问题下主流信源被平台型站点
    （知乎/公众号转载站/百家号/CSDN 等）占满而你不在其中，再好的站内优化也不会被引用。
    返回：结果域名分布、平台归类、是否命中你的品牌/域名、同题竞品域名清单、建议动作。
    参数：question 用户真实会问的问题原话；brand 品牌词（如「合尘猫」）；domain 你的域名（如 savantcat.cn）。

Input parameters:

- `brand` (string)
- `domain` (string)
- `question` (string, required)

Output parameters:

- `result` (string)

### `score_visibility` (~309 tokens)

按五大核心指标 + 语义角色分权，计算 AI 搜索可见度并输出可自验的测量报告。

    输入 samples 为 JSON 字符串：
    {"brand":"合尘猫","domain":"savantcat.cn","baseline_negative":3,
     "fact_points":["服务范围","交付周期","定价方式"],
     "samples":[{"question":"Q1","platform":"DeepSeek","run":1,"answer":"原文回答……",
                 "role":"independent|joint|citation_only|none",
                 "sentiment":"positive|neutral|negative",
                 "facts":"accurate|partial|wrong|unverifiable",
                 "facts_found":["服务范围"],"as_of":"2026-09-19"}]}
    口径：每题建议多轮（同一问题重复 7-8 次）；role 分级对应语义角色权重；
    返回五大指标、语义角色加权分、逐题明细与「原文摘录」（便于客户自验）。
    verify_citations=True 时会实测 AI 回答里引用的 URL 是否真的可访问（幻觉守卫）；
    extract_claims=True 时会把回答中的数字声明单独列出并标记为未核验。

Input parameters:

- `extract_claims` (boolean)
- `samples` (string, required)
- `verify_citations` (boolean)

Output parameters:

- `result` (string)

### `plan_fixes` (~124 tokens)

按缺口生成优先修复计划（可直接交给客户或工程执行）。

    两种用法：① 传 fail_ids（逗号分隔的自查项编号，如 "L1-3,L2-4"）；② 传 url，工具先审计再出计划。
    返回：按权重排序的修复项、每项「为什么」「怎么补」「验收方式」。

Input parameters:

- `fail_ids` (string)
- `top` (integer)
- `url` (string)

Output parameters:

- `result` (string)

## Diagnostics

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

## Score history

- 2026-09-21: 73
- 2026-09-20: 72
- 2026-09-19: 72

## Common questions

### What is the 中文 AI 可引用性（GEO/AEO）体检 MCP server?

中文 AI 可引用性（GEO/AEO）体检 is an MCP server listed in the public MCP registry as cn.savantcat/geo-cn. 中文站能否被豆包/DeepSeek/文心/Kimi 抓取、读懂、引用：可引用性审计、信源池占位探测、五大指标测量、修复计划. This page covers its hosted endpoint (https://savantcat.cn/mcp-geo).

### Is the 中文 AI 可引用性（GEO/AEO）体检 MCP server safe to use?

中文 AI 可引用性（GEO/AEO）体检 scores 73 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 中文 AI 可引用性（GEO/AEO）体检 MCP server expose?

中文 AI 可引用性（GEO/AEO）体检 exposes 4 tools: audit_cn_citability, probe_source_pool, score_visibility, plan_fixes. Their descriptions and schemas cost roughly 830 tokens of context every time the server is loaded.

### Does the 中文 AI 可引用性（GEO/AEO）体检 MCP server require authentication?

No. We connected to 中文 AI 可引用性（GEO/AEO）体检 without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the 中文 AI 可引用性（GEO/AEO）体检 MCP server still maintained?

中文 AI 可引用性（GEO/AEO）体检 is still listed as active in the MCP registry. We last reached this channel on 21 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://savantcat.cn/mcp-geo
- Repository: https://github.com/savantcat/mcp-geo-cn
- Website: https://savantcat.cn/mcp-geo.html
- Changelog RSS feed: https://verifymcp.io/servers/cn-savantcat-geo-cn/mcp-geo.xml
- Changelog JSON feed: https://verifymcp.io/servers/cn-savantcat-geo-cn/mcp-geo.json
- HTML version of this page: https://verifymcp.io/servers/cn-savantcat-geo-cn/mcp-geo