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OSOJDJD/deeplook · 12 stars · Python · AGPL-3.0

MCP server Researches any company in ~10 seconds using 10 data sources. Returns structured reports with bull/bear verdict for stocks, crypto, and private companies.

Install

The repo has no one-line install. Follow its README.

Open the repo

Files

README.md

DeepLook

LLMs hallucinate financial data. DeepLook gives them real numbers instead.

License: AGPL-3.0 GitHub stars

What happens when you ask "Research NVIDIA"

DeepLook Dashboard

DeepLook Analysis

DeepLook provides structured context — real-time data from 8+ APIs combined with analytical instructions that makes better output. The result:

  • Accurate, up-to-date information — not hallucinated numbers
  • Clear at a glance — financials, peers, technicals, news in one view
  • Better AI output — because good context drives good analysis

Works for financial research, business due diligence, or any use case where you need to understand a company fast.


Under the hood

  • 10+ sources, one call — queries fan out in parallel across market data, filings, news, and more
  • Rules before reasoning — data is verified before the LLM ever sees it, which is what keeps hallucination down
  • Eval-tested prompts — changes get scored before they ship, not just shipped on vibes
  • Agent-ready — available as both an MCP server and a REST API

Get started

Claude.ai

  1. Go to Settings → Connectors → Add MCP
  2. Paste: https://mcp.deeplook.dev/mcp
  3. Start a new chat and ask: "Research NVIDIA"

Other MCP clients (Cursor, VS Code, Windsurf, Claude Desktop)

{
  "mcpServers": {
    "deeplook": {
      "url": "https://mcp.deeplook.dev/mcp"
    }
  }
}

Claude Code

claude mcp add --transport http deeplook https://mcp.deeplook.dev/mcp

Self-host

git clone https://github.com/OSOJDJD/deeplook.git
cd deeplook
pip install -r requirements.txt
python -m deeplook.mcp_server

What it covers

Type Examples
Public stocks NVIDIA, Apple, Tesla, TSMC
Crypto Bitcoin, Solana, Ethereum
Private companies Anthropic, Stripe, OpenAI
VC firms a16z, Sequoia
Defunct FTX, WeWork

Eval

Tested across 58 companies, scored on accuracy, hallucination, and usefulness:

Metric Score
Overall 3.78 / 5.0
Risk detection 4.36 / 5.0
Signal quality 3.94 / 5.0
Actionability 3.38 / 5.0

From an earlier pipeline version — re-run pending. Eval harness in /deeplook/eval.


Extend DeepLook

DeepLook covers the basics. If you need data it doesn't have yet — a new market, a new data source, a new analysis rule — you can add it. See CONTRIBUTING.md.


Roadmap

  • More query tools — news, peers, financials, calendar as standalone lookups
  • Broader client support — Cursor, ChatGPT, VS Code, Windsurf, Claude Code
  • Deeper context — more analytical conditions, entity-specific instructions
  • Community contributions — new data sources, custom analysis rules

License

AGPL-3.0


Built by @OSOJDJD

Facts

Kind
MCP server
Repo
OSOJDJD/deeplook
Group
Uncategorized
Stars
12
License
AGPL-3.0
Language
Python
Last push
2026-08-26
Forks
2
Homepage
mcp.deeplook.dev
Topics
company-research, financial-data, mcp, mcp-server, open-source

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