AgentIndex icon
AgentIndex
screener-mcp logo
screener-mcp
★ 15
vs
gigaxity-deep-research logo
gigaxity-deep-research
★ 62

screener-mcp vs gigaxity-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.; gigaxity-deep-research: Gigaxity Deep Research is an open-source multi-source synthesis pipeline providing six MCP tools for deep research with LLMs. It integrates parallel web search, RRF fusion, contradiction detection, and citation binding to offer robust, evidence-backed answers.

01

TL;DR

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

Compare key ratios and financials between multiple companies.

Read screener-mcp full review →
gigaxity-deep-research logo
gigaxity-deep-researchRAG / Knowledge Base · ★ 62

Empowering AI agents like Claude Code with external, citation-backed deep research capabilities to avoid hallucinations.

Read gigaxity-deep-research full review →
02

Side-by-Side Comparison

Field
screener-mcp logoscreener-mcp
gigaxity-deep-research logogigaxity-deep-research
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 15
★ 62
License
MIT
MIT
Install Command
claude mcp add screener -s user -- uvx --from 'screener-mcp[ai]' screener-mcp
git clone https://github.com/yoloshii/gigaxity-deep-research.git && cd gigaxity-deep-research && python -m venv .venv && source .venv/bin/activate && pip install -e .
Updated
3d ago
3w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Financial Analysis, Stock Market, RAG
RAG, Multi-Agent, Web Search
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)
gigaxity-deep-research logogigaxity-deep-research
01Multi-source parallel search across various providers with Reciprocal Rank Fusion (RRF) for comprehensive result aggregation.
02Exposes six distinct deep-research tools via MCP and a FastAPI REST API: search, research, ask, discover, synthesize, reason.
03Advanced synthesis capabilities including CRAG-style quality gates, PaperQA2-style contradiction detection, and VeriCite-style citation binding.
04Adaptive query routing, HyDE-style query expansion, and multi-aspect query decomposition for complex research tasks.
05Support for various focus modes (e.g., general, academic, debugging) and SciRAG-style outline-guided synthesis.
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.
gigaxity-deep-research logogigaxity-deep-research
↳Empowering AI agents like Claude Code with external, citation-backed deep research capabilities to avoid hallucinations.
↳Automating comprehensive, multi-source knowledge synthesis for factual queries across various domains.
↳Building custom RAG-powered LLM applications using a flexible FastAPI REST API or MCP server for integration.
↳Supporting multi-tenant LLM services with individual API key billing for research costs, such as via OpenRouter.
FAQ

FAQ

What is the difference between screener-mcp and gigaxity-deep-research?
Both screener-mcp and gigaxity-deep-research are in the RAG / Knowledge Base category. screener-mcp has 15 stars, while gigaxity-deep-research has 62 stars.
Which is better, screener-mcp or gigaxity-deep-research?
The best choice depends on your use case. Choose screener-mcp if Compare key ratios and financials between multiple companies., and gigaxity-deep-research if Empowering AI agents like Claude Code with external, citation-backed deep research capabilities to avoid hallucinations..
Is screener-mcp free or open source?
Yes, screener-mcp is open source on GitHub (MIT).
Is gigaxity-deep-research free or open source?
Yes, gigaxity-deep-research is open source on GitHub (MIT).
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