# Chengyu Coach (pypi · chengyu-coach-mcp)

成语学习服务器：随机抽成语、查释义与出处，并按对话表现记录掌握程度

- Trust score: 83/100 (high trust)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- pypi · `chengyu-coach-mcp`: 83/100 (this document), [markdown](https://verifymcp.io/servers/floweroffire-chengyu-coach-mcp/chengyu-coach-mcp.md), [page](https://verifymcp.io/servers/floweroffire-chengyu-coach-mcp/chengyu-coach-mcp)

## Channel facts

- Registry: `pypi`
- Package: `chengyu-coach-mcp`
- Version: `1.0.0`
- 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 2026-11-05.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs setuptools.build_meta at install time, a recognised build step with no custom scripting around it.
  - 1 of 28 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 97/100
  - Source repository is publicly reachable at the declared URL.
  - Cryptographically verified build provenance (signed, bound to FlowerOfFire/chengyu-coach-mcp).
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 7 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 81/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 628 tokens (~78/item across 8 items; 7 tools + 1 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 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 7 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 9 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 Chengyu Coach MCP server?

Chengyu Coach runs locally as a PyPI package, launched with uvx chengyu-coach-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 floweroffire-chengyu-coach-mcp -- uvx chengyu-coach-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "floweroffire-chengyu-coach-mcp": {
      "command": "uvx",
      "args": [
        "chengyu-coach-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "floweroffire-chengyu-coach-mcp": {
      "command": "uvx",
      "args": [
        "chengyu-coach-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add floweroffire-chengyu-coach-mcp -- uvx chengyu-coach-mcp
```

### opencode

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

### OpenClaw

```bash
openclaw mcp add floweroffire-chengyu-coach-mcp --command uvx --arg chengyu-coach-mcp
```

### Hermes

```yaml
mcp_servers:
  floweroffire-chengyu-coach-mcp:
    command: "uvx"
    args: ["chengyu-coach-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "floweroffire-chengyu-coach-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "chengyu-coach-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add floweroffire-chengyu-coach-mcp -t stdio -c uvx -a chengyu-coach-mcp
```

### Other

```json
{
  "mcpServers": {
    "floweroffire-chengyu-coach-mcp": {
      "command": "uvx",
      "args": [
        "chengyu-coach-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.

### 2026-11-05 (score 83, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-11-04 (score 68, −14)

- [security regression] Malware scan: pass → unverified

### 2026-11-02 (score 82, +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.

### 2026-10-30 (score 81, +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.

### 2026-10-28 (score 80)

First indexed and scored.

## MCP tools (7)

### `draw_idiom` (~105 tokens)

随机抽成语学习。优先抽没抽过的；都抽过一轮后，抽得最少且最久没抽的优先。默认跳过最近 20 条和已掌握的。

Args:
    count: 抽几个（1~10）
    include_mastered: 是否把已掌握的也放回抽奖池

Input parameters:

- `count` (integer)
- `include_mastered` (boolean)

Output parameters:

- `result` (string)

### `idiom_detail` (~59 tokens)

查一个成语的释义、出处、古文例句，以及学习进度（抽中次数、状态、备注）。

Args:
    word: 成语原文，如 守株待兔

Input parameters:

- `word` (string, required)

Output parameters:

- `result` (string)

### `search_idiom` (~82 tokens)

按关键词搜成语（匹配成语、拼音或释义），并附各自的抽中次数。

Args:
    keyword: 关键词，中文或拼音缩写（如 szdt）
    limit: 最多返回几条（1~20）

Input parameters:

- `keyword` (string, required)
- `limit` (integer)

Output parameters:

- `result` (string)

### `update_status` (~102 tokens)

根据对话中用户的实际表现，更新成语的掌握状态。由 AI 自行判断调用，服务端不做判分。

Args:
    word: 成语原文
    status: learning=还不熟/答错/卡壳；reviewing=大致理解但不够稳；mastered=能准确解释并举一反三

Input parameters:

- `status` (string, required)
- `word` (string, required)

Output parameters:

- `result` (string)

### `add_note` (~71 tokens)

给某个成语写备注（自由文本，如易错点、使用场景），会覆盖原备注。

Args:
    word: 成语原文
    note: 备注内容；传空字符串则清除备注

Input parameters:

- `note` (string, required)
- `word` (string, required)

Output parameters:

- `result` (string)

### `progress` (~32 tokens)

查看整体学习进度：接触了几个、各状态数量、有备注的、最近抽的 10 个。

Output parameters:

- `result` (string)

### `reset_word` (~51 tokens)

清空某个成语的学习记录（抽中次数、状态、备注），词库本身不受影响。

Args:
    word: 成语原文

Input parameters:

- `word` (string, required)

Output parameters:

- `result` (string)

## Diagnostics

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

## Score history

- 2026-11-05: 83
- 2026-11-04: 68
- 2026-11-03: 82
- 2026-11-02: 82
- 2026-11-01: 81
- 2026-10-31: 81
- 2026-10-30: 81
- 2026-10-29: 80
- 2026-10-28: 80

## Common questions

### What is the Chengyu Coach MCP server?

Chengyu Coach is an MCP server listed in the public MCP registry as io.github.FlowerOfFire/chengyu-coach-mcp. 成语学习服务器：随机抽成语、查释义与出处，并按对话表现记录掌握程度. This page covers its PyPI package (chengyu-coach-mcp).

### Is the Chengyu Coach MCP server safe to use?

Chengyu Coach scores 83 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. Its build provenance is signed and verified. 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 Chengyu Coach MCP server expose?

Chengyu Coach exposes 7 tools: draw_idiom, idiom_detail, search_idiom, update_status, add_note, and 2 more. Their descriptions and schemas cost roughly 502 tokens of context every time the server is loaded.

### Is the Chengyu Coach MCP server still maintained?

Chengyu Coach is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the Chengyu Coach MCP server under?

Chengyu Coach declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- PyPI project: https://pypi.org/project/chengyu-coach-mcp/
- Socket report: https://socket.dev/pypi/package/chengyu-coach-mcp
- Repository: https://github.com/FlowerOfFire/chengyu-coach-mcp
- Changelog RSS feed: https://verifymcp.io/servers/floweroffire-chengyu-coach-mcp/chengyu-coach-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/floweroffire-chengyu-coach-mcp/chengyu-coach-mcp.json
- HTML version of this page: https://verifymcp.io/servers/floweroffire-chengyu-coach-mcp/chengyu-coach-mcp