Data Observability
Top open-source Data Observability AI systems, agents, and MCP tools.
Discover and install verified Data Observability AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (6)
Open in Advanced FilterThe open-source context layer for your AI. Catalog your tables, topics, queues and APIs then expose real metadata to your AI agents.
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
Open-source agent skills for debugging and optimizing Apache Spark workloads
A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability
Polymarket tennis trading toolkit (Python, MIT, observe-only): discover tennis markets on the Gamma API, match them to live tennis matches, watch market price vs live score, server and break point. The data layer for a Polymarket or Kalshi tennis trading bot.
Build & Monetize for Data Observability
Have you created an autonomous agent, MCP server, or Claude Code skill for Data Observability? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.

