# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

- Search: append `?q=<keywords>` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README.
- Filter by type: append `?type=<cli|skill|plugin|mcp>` to the URL.
- Filter by profession: append `?profession=<profession id>` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions
- Filter by tag: append `?tag=<tag>` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags

Resources for DevOps / SRE or ML / AI or GIS / Surveying, Tagged `sql`: 8 items.

> - DevOps / SRE: Deployment, monitoring, cloud resources and reliability.
> - ML / AI: Model training, evaluation and LLM application development.
> - GIS / Surveying: Spatial data and analysis, QGIS mapping, remote sensing, geocoding, routing and map services.

- [usql](https://hebbmind.com/de/cli/usql.md): [CLI] Universal psql-style SQL command line: one tool to connect to PostgreSQL, MySQL, SQLite, SQL Server, Oracle and dozens of other SQL and NoSQL databases, with support for copying data between databases.
- [Atlas](https://hebbmind.com/de/cli/atlas.md): [CLI] Manage database schemas as code: declare the desired schema in SQL, HCL or your ORM and Atlas plans, lints and applies migrations, and can export existing databases as HCL, SQL or Mermaid ER diagrams. Supports PostgreSQL, MySQL and a dozen other databases.
- [Steampipe](https://hebbmind.com/de/cli/steampipe.md): [CLI] Query cloud resources and SaaS APIs live with SQL: plugins map AWS, Azure, GCP, GitHub, Kubernetes and other services to tables you can select from directly, no ETL needed. A single binary with Postgres built in.
- [Jupyter Notebooks](https://hebbmind.com/de/skill/jupyter-notebook.md): [Skill] Creates, edits and validates reproducible Python and SQL Jupyter notebooks: organizes cells as reports or tutorials, checks conclusions against actual output and reruns top to bottom before handoff. Maintained by OpenAI in the Data Analytics plugin of openai/plugins.
- [Postgres MCP Pro](https://hebbmind.com/de/mcp/postgres-mcp.md): [MCP] PostgreSQL MCP server with database health checks, index tuning, EXPLAIN plan analysis and hypothetical index simulation, plus safe read-only SQL execution in restricted mode.
- [GeoSQL](https://hebbmind.com/de/skill/geosql.md): [Skill] Helps agents write geospatial SQL for PostGIS, DuckDB, BigQuery and Snowflake: inspect schemas and keep query costs in check, then render results as interactive maps to review and correct. Needs Python and your own database or warehouse; maps use Dekart, which can run locally in Docker.
- [Databricks Agent Skills](https://hebbmind.com/de/skill/databricks-agent-skills.md): [Skill] Official Databricks skills guiding agents to build Lakeflow pipelines and jobs, Apps, Lakebase, Vector Search, Model Serving and AI/BI dashboards on the lakehouse. Needs the Databricks CLI.
- [3DCityDB MCP Server](https://hebbmind.com/de/mcp/3dcitydb-mcp-server.md): [MCP] From TUM's Chair of Geoinformatics (a 3DCityDB co-developer): query CityGML 3D city models in 3DCityDB v5 in plain language, covering both spatial and semantic attributes, with read-only SQL. Needs a deployed 3DCityDB database and Python; register it from the folder with your .env config.