ragflow
★ 92.7k
vs
screener-mcp
★ 15
ragflow vs screener-mcp
ragflow: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that integrates RAG with Agent capabilities. It provides a superior context layer for LLMs and offers a streamlined RAG workflow adaptable to enterprises of any scale.; 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.
01
TL;DR
ragflowRAG / Knowledge Base · ★ 92.7k
When to choose:
- Your documents have complex layouts (PDFs, scanned files, tables, slides) and you need layout analysis, OCR, and traceable citations.
- You want an Apache-2.0 all-in-one RAG platform where you can inspect and hand-tune template-based chunks in a web UI.
When to skip:
- Your server has less than 4 CPU cores and 16 GB RAM; RAGFlow's multi-service stack is heavy.
- You want an autonomous web research agent that writes 2,000-word reports from live search rather than indexing a local document corpus; GPT Researcher fits better.
screener-mcpRAG / Knowledge Base · ★ 15
Compare key ratios and financials between multiple companies.
02
Side-by-Side Comparison
Field
ragflowscreener-mcpCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 92.7k
★ 15
License
Apache-2.0
MIT
Install Command
docker compose -f docker-compose.yml up -d
claude mcp add screener -s user -- uvx --from 'screener-mcp[ai]' screener-mcp
Updated
1d ago
3d ago
Open Source
Yes
Yes
Tags
RAG, AI Agent, LLM
Financial Analysis, Stock Market, RAG
03
Features
ragflow01Deep document understanding for knowledge extraction from unstructured data.
02Intelligent and template-based chunking with explainable options.
03Grounded citations with reduced hallucinations and traceable references.
04Compatibility with heterogeneous data sources including documents, images, and web pages.
05Automated and effortless RAG workflow orchestration with configurable models and fused re-ranking.
screener-mcp01Comprehensive 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)
04
Use Cases
ragflow↳Building high-fidelity, production-ready AI systems with complex data.
↳Developing enterprise-scale knowledge base and intelligent Q&A chatbots.
↳Facilitating intelligent document processing and advanced information retrieval.
screener-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.
05
Best For
ragflowMost PopularEssentialTrending
screener-mcp—
FAQ
FAQ
What is the difference between ragflow and screener-mcp?
Both ragflow and screener-mcp are in the RAG / Knowledge Base category. ragflow has 92.7k stars, while screener-mcp has 15 stars.
Which is better, ragflow or screener-mcp?
The best choice depends on your use case. Choose ragflow if Building high-fidelity, production-ready AI systems with complex data., and screener-mcp if Compare key ratios and financials between multiple companies..
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Is screener-mcp free or open source?
Yes, screener-mcp is open source on GitHub (MIT).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→