KDB
Provides a Model Context Protocol (MCP) interface for querying, managing, and interacting with KDB+ databases.
About
KDB offers a robust Model Context Protocol (MCP) service designed to bridge AI agents with KDB+ databases. It empowers intelligent systems to perform comprehensive data operations—including querying, inserting, updating, and deleting data—through a standardized interface. With support for multiple databases, efficient connection pooling, schema introspection, and asynchronous operations, KDB simplifies complex interactions, enabling AI agents to analyze financial markets, manage data pipelines, and generate reports with ease, leveraging secure environment variable support for credentials.
Key Features
- Multiple KDB+ database support
- Schema introspection (list tables, get schema)
- Efficient connection pooling
- Asynchronous database operations
- Full CRUD (Create, Read, Update, Delete) operations
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Use Cases
- Managing data pipelines and generating reports from KDB+ data
- Querying real-time market data with AI agents
- Analyzing historical trading patterns for insights