agentic-stock-research-system

by rooneyrulz · AI Agent Frameworks · ★ 121

agentic-stock-research-system is an MCP server by rooneyrulz. A sophisticated multi-agent AI system for analyzing Indian NSE-listed stocks using real-time data, technical indicators, news sentiment, and advanced AI reasoning. It has 121 GitHub stars and ranks #188 of 604 in AI Agent Frameworks by stars.

Category: AI Agent Frameworks
Author: rooneyrulz
GitHub stars: 121
This week: Tracking since 20 Oct 2026
Language: Python
License: Not stated
Last update: 2026-09-15 (39 days ago)
Links: Source

ai-agents
groq
langchain
langgraph
llms
mcp
openai
python
streamlit

How to install agentic-stock-research-system

Install steps differ per project, so follow the README in the agentic-stock-research-system repository. Most MCP servers start with a single command (npx -y <package>, uvx <package> or a Docker image) that you add to your client's config. The install guide shows where that goes in Claude Code, Claude Desktop, Cursor and VS Code.

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Frequently asked questions

What is agentic-stock-research-system?

agentic-stock-research-system is an MCP server by rooneyrulz in the AI Agent Frameworks category. A sophisticated multi-agent AI system for analyzing Indian NSE-listed stocks using real-time data, technical indicators, news sentiment, and advanced AI reasoning. It has 121 GitHub stars and ranks #188 of 604 in AI Agent Frameworks by stars.

Is agentic-stock-research-system free and open source?

The listing has no license field, which usually means the repository does not declare one. Without a license the code is not open source by default, so ask the maintainer before reusing it. You can still read the code and the README at the source link.

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Data last updated 25 October 2026. Stars and downloads are refreshed every day from GitHub and npm.