qwencode-mcp-server: Instructions file for Gemini CLI

GEMINI.md

qwencode-mcp-server GEMINI.md is an instructions file for Gemini CLI from utenadev/qwencode-mcp-server. It costs 1,397 tokens per session, scanned A, original, MIT.

A project instruction file for a server that connects Qwen AI models to assistants such as Claude through the Model Context Protocol, a standard for giving AI tools access to external services. It documents the server’s architecture, commands, requirements, and file handling.

In plain words
What is it for?
Use it when developing or operating the qwencode-mcp-server, including building it, running its Qwen command, testing it, and handling referenced local files.
Why use it?
It gives the coding agent the project context needed to build, run, test, and maintain this Qwen bridge correctly.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md.

This is utenadev/qwencode-mcp-server's own configuration. It tells Gemini CLI how to work on qwencode-mcp-server itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything qwencode-mcp-server configures →

Reuse

Borrowing it

Nothing to install: this file belongs to utenadev/qwencode-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/utenadev/qwencode-mcp-server/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/utenadev/qwencode-mcp-server

Made for: Gemini CLI.

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Per session 1,397 This file is loaded in full into every session.
When invoked 1,397 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.01397 $0.01397
Opus 5.5 $0.00559 $0.00559
Sonnet 5.5 $0.00279 $0.00279
Haiku 4.5 $0.00140 $0.00140

Measured 2mo ago against content hash 9e97f0a850a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

qwencode-mcp-server GEMINI.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

GEMINI.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

qwencode-mcp-server

プロジェクト概要

qwencode-mcp-server は、Qwen AI モデルを Claude などの AI アシスタントに統合するための Model Context Protocol (MCP) サーバーです。このサーバーはブリッジとして機能し、ユーザーが主要な AI アシスタントを通じて、大規模なコードベースやファイルの分析に長けた Qwen の能力を直接活用できるようにします。

サーバーは外部の qwen CLI をラップしたツールを公開し、プロンプトの転送や @file 構文によるファイルコンテキストの解決を処理します。

アーキテクチャ

このプロジェクトは以下の技術で構成されています。

  • Node.js: 実行環境
  • TypeScript: 型安全な開発
  • @modelcontextprotocol/sdk: MCP サーバー標準の実装
  • Qwen CLI: このサーバーが実際の AI 処理を実行するために呼び出す外部依存ツール

データフロー:

  1. MCP クライアント(例:Claude)がツール呼び出しリクエスト(例:ask-qwen)を送信。
  2. qwencode-mcp-server が stdio 経由でリクエストを受信。
  3. サーバーが zod を使用して引数を検証。
  4. qwenExecutor ユーティリティが、外部 qwen CLI を呼び出すシェルコマンドを構築。
  5. qwen CLI がリクエストを処理(@ で参照されたローカルファイルを読み込む場合がある)し、結果を返却。
  6. qwencode-mcp-server が出力をキャプチャし、MCP クライアントに返却。

ビルドと実行

前提条件

  • Node.js (v16 以上)
  • システムパスにインストール・設定済みの qwen CLI ツール

主要なコマンド

  • 依存関係のインストール:
    npm install
    
  • ビルド (TypeScript のコンパイル):
    npm run build
    
    出力は dist/ ディレクトリに生成されます。
  • 実行 (本番):
    npm start
    
  • 開発モード:
    npm run dev
    
    ビルドしてサーバーを実行します。
  • テスト:
    npm test
    
  • 静的解析 (Lint):
    npm run lint
    

主要なファイル

  • src/index.ts: アプリケーションのエントリポイント。MCP サーバーを初期化し、ツールやプロンプトのリクエストハンドラを設定し、接続トランスポート (stdio) を管理します。
  • src/tools/registry.ts: ツールの登録と検出を管理します。UnifiedTool インターフェースを定義し、内部のツール定義を MCP 準拠のスキーマに変換します。
  • src/tools/ask-qwen.tool.ts: コアとなる ask-qwen ツールの実装。入力(プロンプト、モデル)を定義し、実行を Qwen エグゼキューターに委譲します。
  • src/utils/qwenExecutor.ts: 外部 qwen CLI を呼び出すためのシェルコマンドの構築と実行を担当します。@ を含むプロンプトを引用符で囲むなどの引数フォーマットを処理します。
  • package.json: プロジェクトのメタデータ、スクリプト、依存関係を定義します。

利用可能なツール

  • ask-qwen: 主要なツール。
    • 入力引数:
      • prompt (string, 必須): Qwen へのクエリ。コンテキスト指定のための @filename 構文をサポート。
      • model (string, 任意): 使用する特定の Qwen モデル (例: qwen-max)。
    • 機能: qwen -p <prompt> [-m <model>] を実行します。

Read the full file on GitHub · 97 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 97 lines · 1,397 tokens per session scan A 9e97f0a850a4

Subscribe to this mod's changes

qwencode-mcp-server GEMINI.md is an instructions file published in the GitHub repository utenadev/qwencode-mcp-server (1 stars, last pushed 9mo ago), licensed MIT. It adds 1,397 tokens to every session, about $0.0056 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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