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@qubaomingg/stock-mcp

by qubaomingg

Alpha Vantage ストック MCP サーバー

これは、Alpha Vantage APIから株式市場データを提供するモデルコンテキストプロトコル(MCP)サーバーです。ClaudeをはじめとするMCPクライアントは、このサーバーを通じてリアルタイムおよび過去の株式データにアクセスできます。

特徴

  • カスタマイズ可能な間隔で日中株価データを取得する

  • 毎日の株価データを取得する

  • 価格変動に基づいて株価アラートを生成する

  • 株価データをリソースとしてアクセス

Related MCP server: Stock Market MCP Server

前提条件

  • Node.js 16以上

  • Alpha Vantage API キー ( Alpha Vantageで無料で取得できます)

インストール

  1. このリポジトリをクローンする

  2. 依存関係をインストールします:

    npm install
  3. ルート ディレクトリに.envファイルを作成し、Alpha Vantage API キーを追加します。

    ALPHA_VANTAGE_API_KEY=your_api_key_here

構築と実行

TypeScript コードをビルドします。

npm run build

サーバーを実行します。

npm start

自動リロードを使用した開発の場合:

npm run dev

API クライアントをテストします。

npm test

Claude for Desktop と併用

この MCP サーバーを Claude for Desktop で使用するには:

  1. デスクトップ版Claudeを開く

  2. 設定 > 開発者 > 設定の編集に移動します

  3. claude_desktop_config.jsonに以下を追加します。

{
  "mcpServers": {
    "alpha-vantage": {
      "command": "node",
      "args": ["/absolute/path/to/dist/index.js"],
      "env": {
        "ALPHA_VANTAGE_API_KEY": "YOUR_API_KEY"
      } 
    }
  }
}

/absolute/path/to/dist/index.js 、構築された index.js ファイルへの絶対パスに置き換えます。

  1. デスクトップ版のClaudeを再起動

利用可能なツール

株価データ取得

特定のシンボルの日中株価データを取得します。

パラメータ:

  • symbol (必須):株式シンボル(例:IBM、AAPL)

  • interval (オプション):データポイント間の時間間隔(1分、5分、15分、30分、60分)。デフォルト:5分

  • outputsize (オプション):返されるデータの量(コンパクト:最新の100データポイント、フル:最大20年間のデータ)。デフォルト:コンパクト

毎日の株価データを取得する

特定のシンボルの毎日の株価データを取得します。

パラメータ:

  • symbol (必須):株式シンボル(例:IBM、AAPL)

  • outputsize (オプション):返されるデータの量(コンパクト:最新の100データポイント、フル:最大20年間のデータ)。デフォルト:コンパクト

株価アラートを取得する

株価データを分析して、価格変動に基づいてアラートを生成します。

パラメータ:

  • symbol (必須):株式シンボル(例:IBM、AAPL)

  • threshold (オプション):価格変動アラートのしきい値(パーセント)。デフォルト:5

利用可能なリソース

株価データ

リソースとして株価データに直接アクセスします。

URI テンプレート: stock://{symbol}/{interval}

パラメータ:

  • symbol : 株式シンボル(例: IBM、AAPL)

  • interval : 時間間隔(毎日、1分、5分、15分、30分、60分)。デフォルト: daily

Claude での使用例:

  • 「この株価データを分析できますか: stock://AAPL/daily」

  • 「このデータについてどう思いますか: stock://MSFT/5min」

ライセンス

ISC

Available Tools

3 tools
get-daily-stock-dataD
ParametersJSON Schema
NameRequiredDescriptionDefault
symbolYesStock symbol (e.g., IBM, AAPL)
outputsizeNoAmount of data to return (compact: latest 100 data points, full: up to 20 years of data)

TDQS

D1/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get-stock-alertsD
ParametersJSON Schema
NameRequiredDescriptionDefault
symbolYesStock symbol (e.g., IBM, AAPL)
thresholdNoPercentage threshold for price movement alerts (default: 5)

TDQS

D1/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get-stock-dataD
ParametersJSON Schema
NameRequiredDescriptionDefault
symbolYesStock symbol (e.g., IBM, AAPL)
intervalNoTime interval between data points (default: 5min)
outputsizeNoAmount of data to return (compact: latest 100 data points, full: up to 20 years of data)

TDQS

D1/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

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.

  1. 3 tool updatesv1.0.0
    • Changedget-daily-stock-data2 fields changed
      • addedInput schema / $schema
        Added value: +"http://json-schema.org/draft-07/schema#"
      • addedInput schema / additionalProperties
        Added value: +false
    • Changedget-stock-alerts2 fields changed
      • addedInput schema / $schema
        Added value: +"http://json-schema.org/draft-07/schema#"
      • addedInput schema / additionalProperties
        Added value: +false
    • Changedget-stock-data2 fields changed
      • addedInput schema / $schema
        Added value: +"http://json-schema.org/draft-07/schema#"
      • addedInput schema / additionalProperties
        Added value: +false
  2. 3 tool updates
    • First observedget-daily-stock-data
    • First observedget-stock-alerts
    • First observedget-stock-data

TDQS

D1.4/5.0

Scored across 3 tools

Disambiguation1/5

The tools are highly ambiguous and overlapping. 'get-daily-stock-data' and 'get-stock-data' appear to serve nearly identical purposes, with no description to clarify their differences. 'get-stock-alerts' might be distinct but lacks context, making the overall set confusing and prone to misselection.

Naming Consistency5/5

The naming is perfectly consistent, using a kebab-case pattern with a 'get-' prefix followed by a noun phrase. All three tools follow this exact convention, making them predictable and easy to parse.

Tool Count2/5

With only 3 tools, the set feels thin and under-scoped for a stock data server. It lacks essential operations like search, update, or delete, and the limited coverage suggests it may not support comprehensive agent workflows in this domain.

Completeness1/5

The tool surface is severely incomplete for a stock data domain. It only provides 'get' operations with no ability to set, modify, or manage data (e.g., no create, update, delete, or search tools). This will cause significant agent failures in handling stock-related tasks.

Maintenance

ActivityInactive
ResponsivenessNo issues

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