indian-trading-skills MCP — ユースケース, インストール & ライブデモ

なぜ使うのか

主な機能

NSE/BSE stock quote and historical workflows
F&O derivatives (open interest, put-call ratio, etc.)
Institutional flow analysis (FII / DII)
Market breadth indicators
Produces analysis artifacts, not buy/sell signals

ライブデモ

実際の動作

indian-trading-skill.replay ▶ 準備完了

0/0

インストール

クライアントを選択

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "indian-trading-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ajeeshworkspace/indian-trading-skills",
        "~/.claude/skills/indian-trading-skills"
      ],
      "_inferred": true
    }
  }
}

Claude Desktop → Settings → Developer → Edit Config を開く。保存後、アプリを再起動。

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "indian-trading-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ajeeshworkspace/indian-trading-skills",
        "~/.claude/skills/indian-trading-skills"
      ],
      "_inferred": true
    }
  }
}

Cursor は Claude Desktop と同じ mcpServers スキーマを使用。プロジェクト設定はグローバルより優先。

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "indian-trading-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ajeeshworkspace/indian-trading-skills",
        "~/.claude/skills/indian-trading-skills"
      ],
      "_inferred": true
    }
  }
}

Cline サイドバーの MCP Servers アイコンをクリックし、"Edit Configuration" を選択。

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "indian-trading-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ajeeshworkspace/indian-trading-skills",
        "~/.claude/skills/indian-trading-skills"
      ],
      "_inferred": true
    }
  }
}

Claude Desktop と同じ形式。Windsurf を再起動して反映。

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "indian-trading-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ajeeshworkspace/indian-trading-skills",
        "~/.claude/skills/indian-trading-skills"
      ]
    }
  ]
}

Continue はマップではなくサーバーオブジェクトの配列を使用。

~/.config/zed/settings.json

{
  "context_servers": {
    "indian-trading-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/ajeeshworkspace/indian-trading-skills",
          "~/.claude/skills/indian-trading-skills"
        ]
      }
    }
  }
}

context_servers に追加。保存時に Zed がホットリロード。

claude mcp add indian-trading-skill -- git clone https://github.com/ajeeshworkspace/indian-trading-skills ~/.claude/skills/indian-trading-skills

ワンライナー。claude mcp list で確認、claude mcp remove で削除。

ユースケース

実用的な使い方： indian-trading-skills

Check market breadth for a sector before a decision

👤 Active investors doing their own homework ⏱ ~20 min intermediate

使うタイミング： You're considering a position and want breadth context, not just price.

前提条件

Skill installed — git clone https://github.com/ajeeshworkspace/indian-trading-skills ~/.claude/skills/indian-trading-skills
Data source access — Skill relies on public NSE/BSE data; some providers rate-limit

フロー

Pull sector constituents

Use indian-trading-skills. Nifty IT sector — list constituents with 1-week return and advance/decline.✓ コピーしました

→ Table with breadth stats
Compare to broader index

How does the sector breadth compare to Nifty 50 broader breadth?✓ コピーしました

→ Comparative delta

結果： Context for your own decision — nothing more.

注意点

Treating this output as a signal — It isn't. This is analysis scaffolding, not a recommendation.

組み合わせ： filesystem

Inspect F&O open interest buildup on a single stock

👤 Derivatives traders ⏱ ~15 min advanced

使うタイミング： You're tracking OI changes around an expected event.

フロー

Pull the OI chain

Use indian-trading-skills. RELIANCE — current F&O option chain with today's OI change per strike.✓ コピーしました

→ Strike-by-strike OI delta
Identify concentration

Where's the heaviest buildup? Call or put side?✓ コピーしました

→ Concentration analysis

結果： Numeric context you can combine with your own read.

注意点

Misreading OI buildup as directional signal — OI changes are ambiguous — writers vs buyers can produce the same number

組み合わせ

他のMCPと組み合わせて10倍の力を

indian-trading-skill + filesystem

Save daily snapshots for your own longitudinal analysis

Snapshot FII/DII + Nifty breadth each trading day into data/daily/.✓ コピーしました

ツール

このMCPが提供する機能

ツール	入力	呼び出すタイミング	コスト
stock_quote	symbol (NSE/BSE)	Any price lookup	1 API call
option_chain	symbol, expiry	F&O analysis	1 API call
sector_breadth	sector index	Sector context	N calls
institutional_flow	date	Flow analysis	1 call

コストと制限

運用コスト

APIクォータ: Varies by data provider; public NSE endpoints rate-limit heavily
呼び出しあたりのトークン: Low
金額: Free if using public data; paid if using commercial feeds
ヒント: Cache queries — NSE blocks aggressive callers.

セキュリティ

権限、シークレット、影響範囲

認証情報の保管： Any data provider creds in env vars

データ送信先： NSE/BSE and any configured data providers

This skill is an analysis tool, not financial advice. It does not predict markets and does not generate trade signals.
Market participation involves substantial risk of loss. Consult a SEBI-registered advisor for personalized guidance.
Do not feed your live broker credentials through LLM context; this skill doesn't need them and shouldn't be modified to use them.

トラブルシューティング

よくあるエラーと対処法

NSE endpoint blocks requests

NSE aggressively rate-limits bots; add delays, rotate User-Agent, or use a commercial data feed

Option chain data stale

Free sources often lag — paid feeds for intraday work

代替案

indian-trading-skills 他との比較

代替案	代わりに使う場面	トレードオフ
Broker-provided analytics	Your broker has good tools already	Locked to broker
TradingView	Visual charting focus	Less LLM-assisted; subscription cost

その他

リソース

📖 GitHub の公式 README を読む

🐙 オープンな issue を見る

🔍 400以上のMCPサーバーとSkillsを見る