freemcplab / 디렉터리 / 플레이그라운드 / indian-trading-skills

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indian-trading-skills

Name: indian-trading-skills MCP Server
Author: ajeeshworkspace

제작: ajeeshworkspace · ajeeshworkspace/indian-trading-skills

Analysis skills for Indian equity markets — NSE/BSE stock data, F&O derivatives, institutional flows, market breadth. Not a stock picker.

A skill for analyzing Indian equity and derivatives markets. Pulls / structures data on NSE/BSE stocks, F&O open interest, FII/DII flows, and breadth indicators. Aimed at investors and traders doing their own research — explicitly not a prediction or signal service.

▶ 데모 보기 📦 설치 💡 사용 사례

왜 쓰나요

핵심 기능

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

라이브 데모

실제 사용 모습

indian-trading-skill.replay ▶ 준비됨

0/0

설치

클라이언트 선택

~/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 열기. 저장 후 앱 재시작.

~/.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
    }
  }
}

Cursor는 Claude Desktop과 동일한 mcpServers 스키마 사용. 프로젝트 설정이 전역보다 우선.

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 사이드바의 MCP Servers 아이콘 클릭 후 "Edit Configuration" 선택.

~/.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 Desktop과 같은 형식. Windsurf 재시작 후 적용.

~/.continue/config.json

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

Continue는 맵이 아닌 서버 오브젝트 배열 사용.

~/.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_servers에 추가. 저장 시 Zed가 핫 리로드.

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

한 줄 명령. claude mcp list로 확인, claude mcp remove로 제거.

사용 사례

실전 활용법: indian-trading-skills

Check market breadth for a sector before a decision

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

언제 쓸까: You're considering a position and want breadth context, not just price.

사전 조건

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

흐름

Pull sector constituents

Use indian-trading-skills. Nifty IT sector — list constituents with 1-week return and advance/decline.✓ 복사됨

→ Table with breadth stats
Compare to broader index

How does the sector breadth compare to Nifty 50 broader breadth?✓ 복사됨

→ Comparative delta

결과: Context for your own decision — nothing more.

함정

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

함께 쓰기: filesystem

Inspect F&O open interest buildup on a single stock

👤 Derivatives traders ⏱ ~15 min advanced

언제 쓸까: You're tracking OI changes around an expected event.

흐름

Pull the OI chain

Use indian-trading-skills. RELIANCE — current F&O option chain with today's OI change per strike.✓ 복사됨

→ Strike-by-strike OI delta
Identify concentration

Where's the heaviest buildup? Call or put side?✓ 복사됨

→ Concentration analysis

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

함정

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

조합

다른 MCP와 조합해 10배 효율

indian-trading-skill + filesystem

Save daily snapshots for your own longitudinal analysis

Snapshot FII/DII + Nifty breadth each trading day into data/daily/.✓ 복사됨

도구

이 MCP가 노출하는 것

도구	입력	언제 호출	비용
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

비용 및 제한

운영 비용

API 쿼터: Varies by data provider; public NSE endpoints rate-limit heavily
호출당 토큰: Low
금액: Free if using public data; paid if using commercial feeds
팁: Cache queries — NSE blocks aggressive callers.

보안

권한, 시크릿, 파급범위

자격 증명 저장: Any data provider creds in env vars

데이터 외부 송신: 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.

문제 해결

자주 발생하는 오류와 해결

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

대안