Implements a Multimodal Communication Protocol server for KevoDB, allowing AI agents to interact with the key-value database through a standardized API with support for core operations like get/put, scans, transactions, and batch operations.
Enables AI agents to interact with KDB+ databases through standardized MCP tools, supporting full CRUD operations, schema introspection, and multi-database connections with connection pooling for efficient time-series and financial data management.
Enables AI agents to interact with heterogeneous databases (MySQL, MongoDB, BigQuery) through MCP tools, allowing natural language queries and database operations.