🔍 DeepLook

Free Bloomberg Terminal for AI Agents — open-source MCP server that researches any company in ~10 seconds.

LLMs hallucinate financial data. Other finance MCP servers return raw data from a single source — you still do the research yourself. DeepLook runs the full workflow: 10 sources in parallel, cross-referenced, with a structured bull/bear verdict. One call, ~10 seconds, no API keys needed.

⚡ Connect in 30 Seconds

1. Claude.ai → Settings → Connectors → Add MCP Server

2. Paste: https://mcp.deeplook.dev/mcp

3. Try: "Use DeepLook to research NVIDIA"

Works with Claude Desktop, Cursor, Windsurf, or any MCP-compatible client.

What You Get

NVIDIA Corporation — $181.93 | EXPANDING / ACCELERATING
Key Signals:

🟢 Jensen Huang projects $1T AI chip revenue by 2027
🟢 Vera Rubin platform with 7 new chips in production
🔴 Earnings surprise: -55.03%

Verdict: Mega-cap AI leader with 73% revenue growth, $1T opportunity

🟢 Revenue +73.2% YoY, earnings +95.6%, $58.1B FCF
🔴 RSI 37.2 oversold, $4.42T valuation limits upside
⏳ Wait for: Q1 FY2027 earnings on 2026-05-20

Embedded structured JSON with precise metrics, peer comparison, technicals → AI clients auto-render as interactive dashboards

Features

• 10+ data sources in parallel (yfinance, news, CoinGecko, DeFiLlama, SEC EDGAR, Wikipedia, YouTube, etc.)

• Works for public stocks, crypto, and private companies

• Dual output: human-readable summary + structured JSON for AI agents

• Bull/bear verdict with catalyst timeline

• Peer comparison with financial metrics

• ~10 second research time

• Two tools: deeplook_research (full report) and deeplook_lookup (quick snapshot)

Supported Entity Types

Public Equity · Crypto/DeFi · Private Companies · Exchanges · VCs · Foundations

Self-Host

1. Clone and install:

git clone https://github.com/OSOJDJD/deeplook.git
cd deeplook
python3 -m venv venv && source venv/bin/activate
pip install -e .
cp .env.example .env   # add at least one LLM key

2. Run as HTTP MCP server:

python -m deeplook.mcp_server --http --port 8819

3. Or add to Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "deeplook": {
      "command": "/full/path/to/deeplook/venv/bin/python",
      "args": ["-m", "deeplook.mcp_server"],
      "cwd": "/full/path/to/deeplook",
      "env": { "ANTHROPIC_API_KEY": "sk-ant-..." }
    }
  }
}

CLI (no MCP):

python -m deeplook "NVIDIA"
python -m deeplook "Aave"
python -m deeplook "Anthropic"

API Keys

Pick at least one LLM provider:

Optional (for deeper research):

Cost per report: ~$0.02–0.05 (Anthropic) · ~$0.01–0.03 (OpenAI) · ~$0.01–0.02 (Gemini) · ~$0.005–0.01 (DeepSeek)

Data Sources

How It Works

Company Name
    ↓
Entity Type Router  (public equity / crypto / private / exchange / VC / foundation)
    ↓
10 Parallel Fetchers  (DDG News, yFinance, CoinGecko, SEC EDGAR, ...)
    ↓
3-Call LLM Pipeline:  Extract (Haiku)  →  Judge (Sonnet)  →  Act (Sonnet)
    ↓
Structured Report + Embedded JSON

Eval

Tested across 37 companies (equities, crypto, private):

Eval framework ships in /eval — run it yourself, contribute ground truth data.

License

MIT — use it however you want.

Built by @tysenpa1 · Open an issue if something breaks or a report looks wrong.