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Sentimatix

by Rishav0123
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Sentimatix

Real-time Indian stock market sentiment intelligence for AI agents and retail traders.

Sentimatix provides live NSE/BSE news sentiment, aggregated stock & sector signals, and a Model Context Protocol (MCP) server that plugs directly into Claude, Cursor, and other AI agents.

🧩 What's Inside

App

Description

apps/api

FastAPI REST API — news, sentiment, entities, sector signals

apps/mcp

MCP Server — 10 tools for AI agents (Claude Desktop, Cursor)

apps/dashboard

Next.js developer portal & API key management

apps/streamlit

Streamlit analytics dashboard

workers/

Background NLP pipeline — sentiment scoring, stock price sync

Related MCP server: IndiaQuant MCP Server

⚡ Quick Start — MCP (Claude Desktop)

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "sentimatix": {
      "command": "python",
      "args": ["path/to/apps/mcp/mcp_stdio.py"],
      "env": {
        "BACKEND_API_URL": "https://sentimatix-production.up.railway.app/api"
      }
    }
  }
}

No API key required for the free tier.

🛠️ MCP Tools

Tool

Description

explain_price_change

Why did a stock move? News + price + technicals

analyze_stock_enhanced

Deep single-stock research report

compare_stocks

Side-by-side comparison of two NSE stocks

get_news_sentiment

Articles with NLP sentiment scores

get_sentiment_aggregate

Aggregated sentiment over 7d / 30d

get_technical_analysis

RSI, MACD, Bollinger Bands

calculate_correlation

Pearson correlation between two stocks

get_rag_evidence

Semantic search over the news corpus

Full docs: apps/mcp/README.md

📡 REST API

Base URL: https://sentimatix-production.up.railway.app

Endpoint

Description

GET /api/v1/news

Financial news with sentiment labels

GET /api/v1/entities

Directory of all supported NSE stocks

GET /api/v1/sentiment

Aggregated sentiment scores per stock

GET /api/v1/sentiment/sectors

Sector-level sentiment heatmap

Interactive docs: https://sentimatix-production.up.railway.app/docs

🔗 Links

This server cannot be installed

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license - not found
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quality - not tested
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maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

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