data-engineering
13 servers · 852★ total
A MCP (Model Context Protocol) server for interacting with dbt.
Stop re-explaining your data to your AI every session. The individual-analyst context layer, delivered over MCP (Claude Code / Cursor / Codex).
AI agent skills for building, operating and troubleshooting Apache Kafka applications. Topic audit, consumer lag, schema review, security, connectors and DLQ
Full-stack air quality analytics platform built with FastAPI, React, and MySQL. Aggregates multi-source PM2.5/PM10 data, performs multi-city comparison and time-series forecasting (SARIMAX), and integrates an LLM-based planning agent with tiered access, secure APIs, and PDF reporting.
We’re build a swarm of agents for all data tasks. That anyone can use for free, open-source community version.
Your data, explored locally — and your AI agents kept on a leash. A federated data explorer with governed agentic access.
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
Production-ready MCP server that lets AI agents build, schedule, run and recover Apache DolphinScheduler data pipelines - 53+ tools, beyond read-only.
The open-source run log for MCP agents. Get a shareable report to verify and reproduce what the agent did — plus a protective mode for common dangerous SQL.
MCP agent for semantic metrics governance with built-in trust scoring, lineage visualization, and conversational metric definition. Designed for data teams working with dbt, LookML, and modern semantic layers.
SAP HANA meets modern Python. Rust-powered driver with zero-copy Arrow, native Polars/pandas support, async pooling. Includes MCP server for AI assistants.
Convert between CSV, JSON, YAML, Parquet, Avro, and Protobuf data formats
