Enables AI agents to query live schema, lineage, and query-context across data warehouses, dbt projects, orchestration systems, and BI tools via MCP tools.
Enables AI agents to operate a US power-grid data pipeline – ingest, plan, run, and monitor datasets like CAISO, ERCOT, and EIA-930 through MCP tools that mirror the CLI.
Open-source autonomous agent swarm of 15 MCP-native AI agents for data engineering — catalog, quality, incidents, schema evolution, governance, migration, observability, ML. 212+ tools, Apache 2.0. Works with Claude Code, Cursor, ChatGPT, and any MCP client.
Enables natural language interaction with complex computer vision workflows such as auto-labeling, class mapping, and embedding selection through an LLM-agnostic MCP orchestration layer.
Enables AI agents to share knowledge, coordinate tasks, and maintain persistent memory across distributed infrastructure with secure vaults and 130+ MCP tools.