sentimatix
https://sentimatix-production.up.railway.app/mcp ↗
Description
# 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, Bolling
What our measurements say
sentimatix is a remote MCP server published at sentimatix-production.up.railway.app. It has been probed 6 times since 9/10/2026. It answered in 6 of them (100.0%), a near-uninterrupted record. Median response time is 445 ms, placing it among the faster endpoints. It offers a narrow, focused set of 10 tools. On the protocol side it still runs 2025-11-25 and has not moved to the newer spec.
Agent readability score
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
Agent readability score
Strengths
- Tool names clearly indicate their purpose (e.g., 'explain_price_change')
- Descriptions provide context for when tools should be used
- Comprehensive coverage of financial analysis needs (sentiment, technical indicators, historical data)
Weaknesses
- Some descriptions lack specificity about required parameters or their formats
- No explicit mention of error handling or data limitations in tool descriptions
- Potential overlap between 'analyze_stock_enhanced' and 'get_stock_summary'
get_stock_summary— Parameter requirements (e.g., timeframes) not explicitly definedget_technical_analysis— No clarification on supported time intervalscalculate_correlation— Lack of details about data frequency assumptions
Verdict
Event narrative
Risk: medium
- 2026-09-10T21:16:35.016Z — era changed from 'auth-gated' to 'legacy' · system moved to legacy mode, enabling compliance checks
- 2026-09-11T09:28:19.138Z — complianceScore changed from null to 100 · full compliance achieved after era transition
Advice
Schema compliance
tools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
- tools/list schema valid
- inputSchema is valid JSON Schema
- Smoke test not run this round
- Cold-start: cold 206ms → warm 209ms (penalty 0ms)
Availability history
Event log
Derived by comparing consecutive probes — changes in era, protocol version, build and reachability.
- Server build: — → 1.0.0
- Supported versions: — → 2024-11-05
- Era changed: Auth-gated → Legacy
- Added to watch — era: Auth-gated
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