sentimatix
# Sentimatix: Indian Stock Market Intelligence Sentimatix is a high-fidelity financial intelligence API and MCP server designed specifically for the **National Stock Exchange of India (NSE)**. It provides AI agents, algorithmic traders, and quantitative developers with deep, structured insights into over 2,200 Indian equities. ## What it does By combining real-time financial news ingestion with advanced NLP sentiment analysis and historical market data, Sentimatix acts as an automated quantitative research assistant. It empowers LLMs and AI agents to make data-driven decisions regarding the Indian stock market without needing expensive institutional data terminals. ## Key Capabilities - **Entity-Level Sentiment Analysis:** Aggregates and scores sentiment from major Indian financial news sources (Moneycontrol, Economic Times, Mint). - **Deep Stock Research:** Generates comprehensive single-stock and comparative research reports. - **Technical Analysis:** Calculates RSI, MACD, Bollinger Bands, and moving averages on demand. - **RAG Evidence Search:** Provides direct semantic search over a vast, continuously updated financial news corpus. - **Market Movers:** Explains sudden price changes using a fusion of technical metrics and recent news sentiment. ## Perfect For - AI Trading Bots analyzing NSE stocks - Portfolio Management assistants - Retail investors seeking institutional-grade, automated research
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-03.
Scan details: Circle-IR · 2026-09-03 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- finance
- Source
- Smithery
- Author type
- human
- Last scanned
- 2026-09-03
- Updated
- 2026-09-03
Use via MCP
Resolve sentimatix from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.