OSOJDJD/deeplook
by Various
Company intelligence for AI agents — any company, one call
MCP
OSOJDJD/deeplook
Added 1 June 2026
Overview
A Python library that provides company intelligence for AI agents. It allows retrieval of information about any company with a single API call, designed for easy integration into agent workflows.
Best for
Best for
Developers building AI agents that need quick, programmatic company lookups
Use cases
- Enrich AI agent responses with real-time company data
- Automate company research for due diligence or lead qualification
- Integrate company lookups into chatbot or assistant pipelines
How to use
Install
pip install -r requirements.txt Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, ChatGPT
Example client config
{\n "mcpServers": {\n "deeplook": {\n "url": "https://mcp.deeplook.dev/mcp"\n }\n }\n} Notes
A Python library that provides company intelligence for AI agents. It allows retrieval of information about any company with a single API call, designed for easy integration into agent workflows.
10 stars on GitHub. Last updated 2026-05-01. Licensed AGPL-3.0.
Use cases
- Enrich AI agent responses with real-time company data
- Automate company research for due diligence or lead qualification
- Integrate company lookups into chatbot or assistant pipelines
Pros
- Simple one-call interface for company data
- Open source and Python-native for easy adoption
- Lightweight dependency for agent toolkits
Cons
- Very early stage with only 10 GitHub stars
- Limited community support and documentation
- Data coverage and accuracy may be unproven
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Simple one-call interface for company data
- Open source and Python-native for easy adoption
- Lightweight dependency for agent toolkits
Cons
- Very early stage with only 10 GitHub stars
- Limited community support and documentation
- Data coverage and accuracy may be unproven
Pairs with
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