An enterprise-grade open-source MCP server by Google, supporting unified access, NL2SQL, and security control for 20+ databases, acting as a middleware control plane connecting AI agents and IDEs directly to enterprise databases.
An open-source, OpenTelemetry-native observability platform integrating logs, metrics, traces, and alerting, with built-in LLM observability and AI Agent debugging, positioned as an alternative to commercial APM tools like Datadog.
Query Engine for AI Analytics that builds self-reasoning AI agents across 200+ data sources using SQL.
A portable accelerated SQL query, search, and LLM inference engine unifying data federation and AI gateway, built for data-driven AI applications and agents.
AI-powered multi-platform trending topic aggregator and public opinion monitoring tool with intelligent filtering, multi-mode push notifications, and MCP-based conversational AI analysis.
A development toolkit that equips AI coding assistants (Claude Code, Cursor, Windsurf) with Databricks platform capabilities, featuring 50+ MCP tools, 19 skill modules, and a Python core library. Supports SQL execution, Jobs management, Unity Catalog, Spark Declarative Pipelines, AI Agent development (Knowledge Assistants, Genie Spaces), and Model Serving.
PGMCP is an MCP server that enables querying any PostgreSQL database through natural language. It connects AI assistants to PostgreSQL databases, allowing users to ask questions in plain English and receive structured SQL results with automatic streaming and robust error handling.
EvaDB is a database system designed specifically for AI-powered applications. It provides a powerful SQL API that enables developers to build AI applications with just a few lines of code, supporting both structured and unstructured data processing.
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