LittleSis
Integrates with the LittleSis API to provide access to corporate power networks and accountability relationships, enabling entity search, relationship mapping between people and organizations, and connection discovery for investigating business-government influence structures.
About
MCP server that provides AI assistants with access to the LittleSis API for tracking corporate power and accountability relationships, built by Nitay Rabinovich using TypeScript and the Model Context Protocol SDK. The implementation offers comprehensive coverage of LittleSis endpoints including entity search and retrieval, relationship mapping between people and organizations, entity type classification, connection discovery, and list membership tracking, with support for filtering by relationship categories, pagination, and detailed metadata extraction. Designed for researchers investigating corporate influence networks, journalists tracking revolving door relationships between business and government, and analysts studying power structures through LittleSis's open database of who-knows-who at the heights of business and government, with all data licensed under CC BY-SA 4.0.
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