Free Bloomberg Terminal for AI Agents
@OSOJDJD
About Free Bloomberg Terminal for AI Agents
Researches any company in ~10 seconds using 10 data sources. Returns structured reports with bull/bear verdict for stocks, crypto, and private companies.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"deeplook": {
"command": "python3",
"args": [
"-m",
"venv",
"venv",
"&&",
"source",
"venv/bin/activate"
]
}
}
}Tools
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Overview
What is Free Bloomberg Terminal for AI Agents?
Free Bloomberg Terminal for AI Agents (DeepLook) is an open-source MCP server that researches any company in under a minute. It runs 10+ data sources in parallel, cross-references them, and returns a structured bull/bear verdict — no API keys needed for the hosted version. The server is built for AI agents and works with Claude Desktop, Cursor, Windsurf, or any MCP-compatible client.
How to use Free Bloomberg Terminal for AI Agents?
For hosted use: add the MCP server in Claude.ai Settings (paste https://mcp.deeplook.dev/mcp) and try "Use DeepLook to research NVIDIA". For self-hosted, clone the repo, install dependencies, set at least one LLM API key, then run as HTTP MCP server or add to Claude Desktop config. Two tools are available: deeplook_research (full report) and deeplook_lookup (quick snapshot). A CLI mode is also provided (python -m deeplook "NVIDIA").
Key features of Free Bloomberg Terminal for AI Agents
- 10+ data sources queried in parallel (yfinance, news, CoinGecko, SEC EDGAR, etc.)
- Dual output: human-readable summary + structured JSON for AI agents
- Bull/bear verdict with catalyst timeline and peer comparison
- Works for public stocks, crypto, and private companies
- Lookup in seconds, full research in under a minute
- Two MCP tools:
deeplook_researchanddeeplook_lookup
Use cases of Free Bloomberg Terminal for AI Agents
- Research a public company (e.g., NVIDIA) with financial metrics, news, and technicals
- Analyze a crypto token or DeFi project with on-chain and market data
- Get a quick snapshot of a private company using available public sources
- Compare a company against its peers using financial ratios and analyst targets
- Generate structured investment research reports for AI-driven portfolio analysis
FAQ from Free Bloomberg Terminal for AI Agents
How much does a report cost?
Cost per report ranges from ~$0.005–0.05 depending on the LLM provider used (Anthropic, OpenAI, Gemini, DeepSeek). No API keys are needed for the hosted version.
What data sources are used?
The server queries yfinance, DuckDuckGo News, Wikipedia, YouTube, CoinGecko, RootData, DefiLlama, SEC EDGAR, Finnhub, and the company website — 10+ sources in parallel.
What entity types are supported?
Public equity, crypto/DeFi, private companies, exchanges, VCs, and foundations.
Do I need API keys?
The hosted version requires no API keys. For self-hosting you must provide at least one LLM API key (Anthropic, OpenAI, Gemini, or DeepSeek). Optional keys (Tavily, CoinGecko Pro, RootData) can deepen research.
What MCP transport is supported?
The server supports HTTP transport (port 8819) and standard input/output. It can be configured in any MCP-compatible client.
Frequently asked questions
How much does a report cost?
Cost per report ranges from ~$0.005–0.05 depending on the LLM provider used (Anthropic, OpenAI, Gemini, DeepSeek). No API keys are needed for the hosted version.
What data sources are used?
The server queries yfinance, DuckDuckGo News, Wikipedia, YouTube, CoinGecko, RootData, DefiLlama, SEC EDGAR, Finnhub, and the company website — 10+ sources in parallel.
What entity types are supported?
Public equity, crypto/DeFi, private companies, exchanges, VCs, and foundations.
Do I need API keys?
The hosted version requires no API keys. For self-hosting you must provide at least one LLM API key (Anthropic, OpenAI, Gemini, or DeepSeek). Optional keys (Tavily, CoinGecko Pro, RootData) can deepen research.
What MCP transport is supported?
The server supports HTTP transport (port 8819) and standard input/output. It can be configured in any MCP-compatible client.
Basic information
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