AgentIndex icon
AgentIndex
screener-mcp logo
screener-mcp
★ 15
vs
deep-research logo
deep-research
★ 4.7k

screener-mcp vs deep-research

screener-mcp: Screener-mcp is an MCP server that integrates Claude with live financial data from Screener.in, NSE, and MCX, transforming it into a research assistant for Indian stocks. It enables users to perform company research, stock screening, document analysis, and track portfolios using real, current market data.; deep-research: Deep Research is an AI-powered tool designed to generate comprehensive research reports rapidly, leveraging advanced AI models and internet connectivity. It prioritizes user privacy by processing and storing all data locally.

01

TL;DR

screener-mcp logo
screener-mcpRAG / Knowledge Base · ★ 15

Compare key ratios and financials between multiple companies.

Read screener-mcp full review →
deep-research logo
deep-researchRAG / Knowledge Base · ★ 4.7k

Rapidly generate in-depth research reports for personal and professional use.

Read deep-research full review →
02

Side-by-Side Comparison

Field
screener-mcp logoscreener-mcp
deep-research logodeep-research
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 15
★ 4.7k
License
MIT
MIT
Install Command
claude mcp add screener -s user -- uvx --from 'screener-mcp[ai]' screener-mcp
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
Updated
3d ago
4mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Financial Analysis, Stock Market, RAG
AI Research, LLM, Privacy-focused
03

Features

screener-mcp logoscreener-mcp
01Comprehensive Company Research (financials, ratios, shareholding, peer comparison, red-flag detection)
02Advanced Stock Screening (custom queries and pre-built thematic screens)
03Local Document Analysis (annual reports, earnings calls via RAG pipeline)
04Corporate Events Tracking (NSE announcements, bulk deals, insider trading)
05Local Portfolio Management (private holdings tracker with live P&L)
deep-research logodeep-research
01Rapidly generates comprehensive research reports in minutes.
02Ensures privacy by processing and storing all data locally in the browser.
03Supports a wide range of mainstream large language models (LLMs).
04Integrates with various web search engines for enhanced information gathering.
05Allows uploading and processing local files to build a knowledge base.
04

Use Cases

screener-mcp logoscreener-mcp
↳Compare key ratios and financials between multiple companies.
↳Screen for investment opportunities based on custom financial criteria or pre-built themes.
↳Ask questions and summarize key risks from annual reports or earnings call transcripts.
↳Monitor recent corporate announcements, bulk deals, and insider trading activity for specific stocks.
↳Track and manage a local stock portfolio with live pricing and P&L.
deep-research logodeep-research
↳Rapidly generate in-depth research reports for personal and professional use.
↳Serve as a deep research as a service (SaaS) platform via SSE API.
↳Integrate deep research functionality into other AI applications using MCP.
FAQ

FAQ

What is the difference between screener-mcp and deep-research?
Both screener-mcp and deep-research are in the RAG / Knowledge Base category. screener-mcp has 15 stars, while deep-research has 4.7k stars.
Which is better, screener-mcp or deep-research?
The best choice depends on your use case. Choose screener-mcp if Compare key ratios and financials between multiple companies., and deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is screener-mcp free or open source?
Yes, screener-mcp is open source on GitHub (MIT).
Is deep-research free or open source?
Yes, deep-research is open source on GitHub (MIT).
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