官方说明7 个来源MCP 服务8 天前
OSOJDJD/deeplook
Company research across multiple data sou
在 GitHub 查看 ↗直链 · 无中转页
配置模板（请按你的客户端调整）
claude mcp add deeplook -- npx -y deeplook
这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。
- ★ 数取值
- 12 ★ · OSOJDJD/deeplook · 取自 GitHub 搜索 API · （2026-10-16 20:00:20 核对）
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
- 评分构成
- 综合分 703 · 12 ★ · 7 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
OSOJDJD/deeplook；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。第三方质量标记
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
- 来源
- awesome · https://github.com/OSOJDJD/deeplook
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