Kinetica is a GPU-accelerated, real-time analytical database that unifies relational (SQL), vector, graph, geospatial, time-series and OLAP workloads in a single query engine, aimed at applications needing millisecond-latency analytics over continuously streaming data. Grown out of a GPU-accelerated geospatial and temporal engine built for U.S. Army Intelligence (INSCOM) in 2009, it is deployed today as the retrieval and reasoning layer behind AI agents and LLM-powered systems. The database is consumed through a POST-only JSON REST API (/execute/sql, /show/table, /insert/records/json, /filter/*, /aggregate/*, /match/graph and friends) served from each deployment on port 9191, plus first-party client libraries for Python, Java, C++, C#, JavaScript/Node.js and Go, JDBC/ODBC drivers, and the KiSQL command-line client. For agents, Kinetica publishes an A2A agent card and an installable Agent Skills package on its documentation host, and ships Toolbelt — an OAuth-protected hosted MCP server exposing toolbelt_* tools for SQL, vector search, graph traversal, schema introspection and ingest-job inspection.
Kinetica publishes 3 APIs on the APIs.io network. Tagged areas include Database, Analytics, gpu-acceleration, Real-Time Analytics, and Vector Search.
Kinetica’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, signup flow, and 27 more developer resources.
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POST-only JSON REST API exposed by every Kinetica deployment on port 9191. Endpoints cover SQL execution (/execute/sql), record ingest and egress (/insert/records/json, /get/rec...
Hosted Model Context Protocol server that gives any MCP-speaking agent a single endpoint onto a Kinetica database. Exposes toolbelt_* tools for SQL execution, vector search, kno...
Read-only Model Context Protocol server over the published Kinetica documentation site, advertised from https://docs.kinetica.com/.well-known/mcp.json with authentication none. ...
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