Enables AI agents to query a personal knowledge vault with hybrid search, entity relationships, user highlights, and vault statistics over a Supabase/Postgres schema.
Enables secure access to an organizational knowledge base via Supabase (RLS), providing tools for search, retrieval, writing, version history, and change tracking.
Connects AI agents to AgentData's company intelligence platform, enabling natural language queries for structured company data like tech stacks, emails, people, and signals.
Integrates CRM data with AI agents to manage leads, track pipeline statistics, and search price catalogs via Supabase. It enables automated lead creation, stage updates, and history tracking through natural language commands.
Enables AI agents to access and manage Supabase projects through the Model Context Protocol, supporting database operations, edge functions, storage, and documentation search. It provides a complete toolset for SQL execution, migration management, and real-time project debugging.
Enables MCP-capable agents to retrieve relevant slices of a user-story knowledge graph (stored in Supabase + pgvector) using three retrieval verbs: find_related, find_crossover, and query_stories.