Official description7 sourcesMCP servers8d ago
OSOJDJD/deeplook
Company research across multiple data sou
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Config template (adjust for your client)
claude mcp add deeplook -- npx -y deeplook
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
- Star count
- 12 ★ · OSOJDJD/deeplook · read from the GitHub search API · (checked 2026-10-16 20:00:20)
- Source
- collected from the punkpeye/awesome-mcp-servers list · type: MCP server
- Harvest history
- first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
- Score
- score 703 · 12 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
OSOJDJD/deeplook；first catalogued 2026-10-09；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.Third-party quality signals
DeepLook
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
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.
---
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)
Claude Code
Self-host
---
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
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.
---
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)
Claude Code
Self-host
---
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
- Source
- awesome · https://github.com/OSOJDJD/deeplook
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