DeepLook
LLMs hallucinate financial data. DeepLook gives them real numbers instead.
 
What happens when you ask "Research NVIDIA"
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.
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Get started
Claude.ai
- Go to Settings → Connectors → Add MCP
- Paste:
https://mcp.deeplook.dev/mcp - 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/mcpSelf-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 |
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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.
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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
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License
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Built by @OSOJDJD
