GPT Researcher

★ 30.2k

screener-mcp

★ 15

GPT Researcher vs screener-mcp

Q: Which is better, GPT Researcher or screener-mcp?

By GitHub stars, GPT Researcher has more community adoption, but the best choice depends on your specific use case.

GPT Researcher: GPT Researcher is an open-source LLM agent designed for deep, structured research on any topic using web and local sources. It produces detailed reports with citations by running parallel research agents, scraping relevant sources, filtering content, and synthesizing findings. Supports local document research, customizable report formats, and multiple LLM backends including OpenAI, Anthropic, and Ollama.; 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.

TL;DR

GPT ResearcherRAG / Knowledge Base · ★ 30.2k

When to choose:

You want an Apache-2.0 agent that plans sub-questions, searches the web and local documents in parallel, and writes 2,000+ word reports with citations.
You want to use it as a Python library, standalone web app, or MCP-connected research skill with PDF/Word export.

When to skip:

You want a general-purpose super-agent harness with a bash sandbox, persistent memory, and Feishu/WeCom/Slack bots; DeerFlow is built for that.
You do not want per-report search API (e.g. Tavily) and multi-call LLM token costs.

Read GPT Researcher full review →

screener-mcpRAG / Knowledge Base · ★ 15

Compare key ratios and financials between multiple companies.

Read screener-mcp full review →

Side-by-Side Comparison

Field

GPT Researcher

screener-mcp

Features

GPT Researcher

01Parallel research agents scraping and synthesizing multiple web sources simultaneously

02Generates structured reports with citations in Markdown, PDF, or Word format

03Supports local document research in addition to web search

04Customizable report types: research reports, outlines, resource lists, and more

05Compatible with OpenAI, Anthropic, Groq, Ollama, and other LLM providers

screener-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)

Use Cases

GPT Researcher

↳Automating deep research reports on any topic with sourced citations

↳Conducting market research, competitive analysis, or literature reviews at scale

↳Building research pipelines that combine web search with local knowledge base 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.

Best For

GPT Researcher

Most PopularEssentialTrending

screener-mcp

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FAQ

What is the difference between GPT Researcher and screener-mcp?

Both GPT Researcher and screener-mcp are in the RAG / Knowledge Base category. GPT Researcher has 30.2k stars, while screener-mcp has 15 stars.

Which is better, GPT Researcher or screener-mcp?

The best choice depends on your use case. Choose GPT Researcher if Automating deep research reports on any topic with sourced citations, and screener-mcp if Compare key ratios and financials between multiple companies..

Is GPT Researcher free or open source?

Yes, GPT Researcher 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

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Alternatives to GPT Researcher →Alternatives to screener-mcp →GPT Researcher details →screener-mcp details →ragflow vs GPT Researcher →GPT Researcher vs deer-flow →

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Features

Use Cases

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