Sentimatix
Pull NSE and BSE sentiment, news NLP, technicals, and RAG search into your agent while researching or monitoring Indian equities.
Overview
Sentimatix is an MCP server for the Grow phase that delivers NSE/BSE stock sentiment, news NLP, technical analysis, and RAG search to AI agents.
What is this MCP server?
- 11 MCP tools for Indian markets (NSE and BSE) per publisher metadata
- Real-time sentiment, news NLP, technical analysis, and RAG search
- Hosted remotes: streamable-http and SSE plus local stdio via PyPI `sentimatix-mcp`
- Configurable BACKEND_API_URL defaulting to the production Sentimatix REST API
- uvx runtime hint for quick Python MCP installs
- 11 MCP tools per publisher build_info
- Markets covered: NSE and BSE
- Transports: stdio, sse, streamable-http
Community signal: 1 GitHub stars.
What problem does it solve?
Builders targeting Indian equities cannot easily combine live sentiment, news, and technicals inside Claude or Cursor without custom API glue.
Who is it for?
Solo developers building India-focused trading bots, portfolio copilots, or market-research agents who already work with NSE/BSE symbols.
Skip if: Founders with no India market exposure who need generic web scraping or non-financial product validation.
What do I get? / Deliverables
Once Sentimatix is registered, your agent can query eleven market tools through MCP instead of hand-rolling brokerage and news integrations.
- Agent-callable sentiment and news summaries for Indian symbols
- Technical analysis outputs usable in alerts or dashboards
- RAG-backed answers grounded in Sentimatix market content
Recommended MCP Servers
Journey fit
Market sentiment and instrument analytics support ongoing decisions after you ship—pricing research, alerts, and growth-side intelligence—not greenfield product coding. Shelfed under analytics because the server exposes measurable sentiment, news, and technical signals rather than storefront or lifecycle automation.
How it compares
Indian equity sentiment MCP with eleven tools, not a global crypto ticker or generic web-search skill.
Common Questions / FAQ
Who is Sentimatix for?
Sentimatix is for developers and indie quant builders who use MCP agents and need NSE/BSE sentiment, news, and technical data in one integration.
When should I use Sentimatix?
Use it when monitoring positions, prototyping fintech agents, or validating market-facing features that depend on Indian stock sentiment and news.
How do I add Sentimatix to my agent?
Add the remote MCP URL (streamable-http or SSE on Railway) or install `sentimatix-mcp` from PyPI with stdio, set BACKEND_API_URL if you self-host, and enable the server in Claude Code or Cursor.