Database Tools for Claude AI
Claude AI 向けデータベースツール
これは、Claude AI が MySQL データベースと直接対話できるようにする MCP (Model Context Protocol) サーバーです。
特徴
Claude を通じて MySQL データベースをクエリする
有効なSQLクエリを実行する
サイズや構造など、テーブルに関する情報を取得します
クロードで読みやすいようにフォーマットされた結果
Related MCP server: MariaDB MCP Server
インストール
Smithery経由でインストール
Smithery経由で Claude Desktop のデータベース ツールを自動的にインストールするには:
npx -y @smithery/cli install @elber-code/database-tools --client claudeこのツールをインストールして使用するには、次の手順に従います。
リポジトリをクローンまたはダウンロードする
git clone [repository-url]または、ZIP ファイルをダウンロードして解凍します。
依存関係をインストールするプロジェクト ディレクトリに移動して、次のコマンドを実行します。
npm install
構成
Claude がこのツールを使用するには、通常次の場所にあるclaude_desktop_config.jsonファイルに構成を追加する必要があります。
C:\Users\YOUR_USER\AppData\Roaming\Claude\claude_desktop_config.json次の構造になります。
{
"mcpServers": {
// Other existing configurations...
"database-tools": {
"command": "node",
"args": [
"C:\\path\\to\\index.js"
]
}
}
}使用法
設定が完了すると、次のようなコマンドを使用して Claude から MySQL データベースを操作できるようになります。
すべてのデータベースを一覧表示する
「MySQL でクエリを実行してデータベースを表示します。」データベース内のテーブルを表示する
「MySQL でクエリを実行して、テーブルname_table表示します。」テーブルのサイズを問い合わせる
「MySQL でクエリを実行して、テーブルname_tableのサイズを表示します。」カスタムクエリを実行する
「MySQL でクエリを実行する: クエリで実行する内容の説明。」
安全
このツールは、 mysql.jsファイルで設定された権限で実行されます。許可したい操作に必要な権限のみを認証情報に含めてください。
トラブルシューティング
接続に問題がある場合は、以下を確認してください。
MySQLが動作していること
mysql.jsの認証情報が正しいことClaude構成ファイル内のパスが正しいこと
実装
データベースをクエリするには、Claude に次のように質問するだけです:「MySQL 内のすべてのデータベースを表示してください」または「users テーブルのサイズはどれくらいですか?」
Available Tools
1 toolmysqlC
Execute a query in MySQL
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | SQL query to execute |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It mentions execution but doesn't disclose behavioral traits like whether it's read-only or destructive, authentication needs, error handling, or rate limits, leaving significant gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no wasted words, making it front-loaded and appropriately sized for its purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of executing SQL queries, no annotations, and no output schema, the description is incomplete. It lacks details on return values, error cases, or operational constraints, which are crucial for effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents the 'query' parameter. The description adds no additional meaning beyond what the schema provides, such as query syntax or examples, meeting the baseline for high coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Execute') and resource ('a query in MySQL'), making the purpose understandable. However, it doesn't distinguish from siblings since there are none, so it's not fully specific to a unique context.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives, such as for read vs. write operations or specific query types. The description only states what it does without context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
v1.0.0- First observed
mysql
TDQS
With only one tool, there is no possibility of confusion or overlap between tools. The tool's purpose is clearly defined as executing MySQL queries, leaving no ambiguity for an agent to misselect among alternatives.
Since there is only one tool named 'mysql', it inherently follows a consistent pattern with itself. There are no other tools to compare against, so no inconsistencies in naming conventions can arise.
A single tool for a server named 'Database Tools for Claude AI' is too few for the apparent scope, which suggests broader database operations. This minimal set limits functionality and does not provide a comprehensive tool surface for database management tasks.
The tool surface is severely incomplete for a database tools server, as it only offers query execution without supporting essential operations like connection management, schema inspection, data manipulation beyond queries, or CRUD lifecycle coverage. This will likely cause agent failures in handling typical database workflows.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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