screener-mcp — Indian Stock Research for Claude

Turn Claude into a personal Indian equity analyst powered by live Screener.in data.

Ask Claude naturally — it fetches real financial data and reasons over it like a seasoned analyst.

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Demo

Screenshot / GIF coming soon. Try it yourself and see!

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What you can ask

"Compare ITC and HUL"
"Find chemical stocks with low debt and strong growth"
"Explain Jyothy Labs like I'm a beginner"
"What are the red flags in Asian Paints?"
"Find hidden gems below ₹5000 crore market cap"
"Show me TCS quarterly results for last 2 years"
"What is the promoter holding trend for Titan?"
"Find companies with improving ROCE over 5 years"
"Which companies benefit from EV adoption?"
"Give me businesses with 15%+ profit growth and low debt"

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Quick install (recommended)

If you have uv installed (pip install uv or brew install uv):

claude mcp add screener -s user -- uvx screener-mcp

That's it. No cloning, no venv setup — uvx handles everything automatically.

Don't have uv? Install it: pip install uv or brew install uv

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Manual install (alternative)

git clone https://github.com/LogeshR15/screener-mcp
cd screener-mcp

python3.11 -m venv .venv
source .venv/bin/activate        # Windows: .venv\Scripts\activate
pip install httpx beautifulsoup4 lxml "mcp[cli]"

claude mcp add screener -s user -- \
  $(pwd)/.venv/bin/python3.11 \
  $(pwd)/run_server.py

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Setup credentials (required for stock screening)

Company data (financials, ratios, shareholding) works without login. Stock screening requires a free Screener.in account.

1. Register free at screener.in/register

2. Add to your shell profile (~/.zshrc or ~/.bashrc):

export SCREENER_USERNAME="[email protected]"
export SCREENER_PASSWORD="yourpassword"

3. Reload your shell (source ~/.zshrc) and restart Claude Code.

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Verify it's connected

claude mcp list
# screener  stdio  ✓ Connected

Then ask Claude: "Search for Asian Paints" — you should get results.

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Tools available

Tool	What it does	Login needed?
search_company	Find company by name or symbol	No
get_company_overview	Key ratios, price, about	No
get_financials	P&L / Balance Sheet / Cash Flow / Ratios	No
get_quarterly_results	Last 8 quarters of results	No
get_shareholding_pattern	Promoter/FII/DII holding trends	No
get_peer_comparison	Peer comparison table	No
compare_companies	Side-by-side multi-company comparison	No
get_full_analysis	All data combined for deep analysis	No
analyze_red_flags	Structured red flag detection	No
explain_for_beginners	Plain-language company explainer	No
screen_stocks	Custom Screener.in query	Yes
screen_by_theme	Pre-built thematic screens	Yes
list_investment_themes	Show all available themes	No

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Pre-built themes

undervalued_small_cap     — Small caps with ROCE > 15%, low debt
high_roce_low_debt        — ROCE > 20%, debt to equity < 0.3
compounders               — 15%+ growth: revenue, profit, ROE, ROCE
turnaround                — Strong recent profit recovery
rising_profit_falling_price — Improving profits, compressed PE
hidden_gems               — Small cap, high ROCE, strong growth
dividend_aristocrats      — Consistent dividends with quality financials
qarp                      — Quality at reasonable price
micro_cap_growth          — High-growth micro caps < ₹1000 Cr
ev_theme                  — EV & auto ancillary growth companies
chemicals                 — Specialty chemicals with strong fundamentals
defense                   — Defense sector with revenue momentum
railways                  — Railway infra/equipment companies
renewable_energy          — Renewable energy sector

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Architecture

screener-mcp/
├── run_server.py                  # Entry point
└── src/screener_mcp/
    ├── server.py                  # FastMCP server — tool definitions
    ├── client.py                  # HTTP client (auth, rate limiting)
    ├── parsers/
    │   ├── company.py             # Parse company HTML pages
    │   └── screener.py            # Parse screener results
    └── tools/
        ├── company_tools.py       # Company data tools
        ├── screening_tools.py     # Stock screening tools
        └── analysis_tools.py     # Deep analysis tools

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Data source & limitations

All data comes from Screener.in — India's most popular stock research platform covering BSE and NSE listed companies with 10+ years of financial history.

• Financial data is updated quarterly (lags by ~1 quarter)
• This is a research tool — not financial advice
• Always verify critical data directly on Screener.in

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Contributing

See CONTRIBUTING.md — adding a new tool takes ~10 minutes.

contact

Mail: [email protected] Linkedin: inkedin.com/in/logesh-ramasamy/