LookC MCP Server
The LookC Model Context Protocol (MCP) server enables your AI agents to seamlessly connect to LookC's comprehensive company research databases, bringing real-time business intelligence directly into your AI workflows.
Overview
The Model Context Protocol provides a standardized interface that allows any compatible AI model or agent to access your company research data in a simple and secure way. The LookC MCP server implements this protocol, providing a bridge between AI assistants and LookC's extensive database of company information.
The LookC MCP server connects your AI workflows to comprehensive company research databases, enabling intelligent prospect research, competitive analysis, and market intelligence gathering.
Real-time Data Access
Access up-to-date company information, employee lists, and organizational data directly from your AI agents.
Standardized Interface
Built on the Model Context Protocol standard, ensuring compatibility with leading AI platforms and frameworks.
Capabilities
The LookC MCP server provides powerful tools for company research and employee intelligence:
- Employee Discovery: Retrieve comprehensive employee lists with filtering by title, location, and seniority level
- Organization Mapping: Convert LinkedIn URLs to LookC organization identifiers for seamless data integration
- Advanced Filtering: Search and filter employees by regex patterns, seniority levels, and employment status
- Pagination Support: Handle large datasets efficiently with cursor-based pagination
- Real-time Updates: Access the most current data available in LookC's research databases
Current Scope
The LookC MCP server currently provides access to our comprehensive company database at a high level, focusing on organizational structure and employee information. This includes:
- Company Profiles: Basic organizational information and metadata
- Employee Lists: Current and historical employee data with detailed filtering capabilities
- LinkedIn Integration: Seamless mapping between LinkedIn URLs and LookC identifiers
- Organizational Hierarchy: Understanding of company structure and employee relationships
Future Roadmap
We're actively expanding the LookC MCP server capabilities to include:
- Personal LookC Database Access: Direct integration with individual user research databases
- Tag-based Organization: Advanced categorization and tagging systems for research organization
- Enhanced Analytics: Deeper insights into company trends and employee movement patterns
- Custom Research Workflows: Tailored data access patterns for specific use cases
Next Steps
Ready to integrate LookC's company research capabilities into your AI workflows? Start with our Getting Started guide to set up authentication and configure your first connection.
For developers looking to understand the technical architecture, explore our Architecture overview or dive into the Available Tools documentation.