# 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

Tagged `sql`, `database`: 26 items.

- [DuckDB](https://hebbmind.com/de/cli/duckdb.md): [CLI] In-process analytical SQL database. Its CLI queries CSV, Parquet and JSON files directly with SQL, no import or server needed, so agents can sample and aggregate large files. Officially maintained.
- [MCP Toolbox for Databases](https://hebbmind.com/de/mcp/mcp-toolbox.md): [MCP] Google's open-source database MCP server with ready-made query and SQL tools for dozens of sources, including PostgreSQL, MySQL, BigQuery, Spanner and MongoDB. Define controlled custom queries in tools.yaml.
- [SQL Queries](https://hebbmind.com/de/skill/sql-queries.md): [Skill] Anthropic's official data skill that guides agents to write, translate and optimize SQL across Snowflake, BigQuery, Databricks, PostgreSQL and other warehouse dialects, including CTEs, window functions and analytical aggregations.
- [BigQuery Basics](https://hebbmind.com/de/skill/bigquery-basics.md): [Skill] Manages BigQuery datasets, tables and jobs with the bq and gcloud CLIs, runs SQL queries and loads data, with references for client libraries, MCP and Terraform. Google's official skill; requires a Google Cloud project.
- [pgcli](https://hebbmind.com/de/cli/pgcli.md): [CLI] PostgreSQL command-line client with smart autocompletion and syntax highlighting. Compatible with psql environment variables, and -c runs a statement and exits, so agents can query databases non-interactively.
- [mycli](https://hebbmind.com/de/cli/mycli.md): [CLI] MySQL terminal client with smart autocompletion and syntax highlighting, also compatible with MariaDB and TiDB. Supports --execute and batch mode with CSV or table output, so agents can run SQL directly.
- [Datasette](https://hebbmind.com/de/cli/datasette.md): [CLI] Publishes SQLite databases as browsable, queryable web pages and JSON APIs, with SQL queries, metadata and plugins, and deploys to Cloud Run and other platforms with datasette publish. Great for data exploration and data journalism. Needs Python 3.10+.
- [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.
- [DBHub](https://hebbmind.com/de/mcp/dbhub.md): [MCP] One server connecting PostgreSQL, MySQL, MariaDB, SQL Server, Oracle and SQLite, exposing just two tools by default to save context, with read-only mode and SSH tunneling. From Bytebase.
- [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.
- [SQLMesh](https://hebbmind.com/de/cli/sqlmesh.md): [CLI] Framework for writing data transformation models in SQL or Python, with a Terraform-like plan/apply flow, virtual data environments, unit tests and table diffs, and transpilation across 10+ SQL dialects. A Linux Foundation project and an alternative to dbt.
- [Supabase MCP Server](https://hebbmind.com/de/mcp/supabase-mcp.md): [MCP] Connects to your Supabase projects: manage schemas and migrations, run SQL, deploy Edge Functions, create development branches and generate TypeScript types. A remote server hosted by Supabase with OAuth sign-in.
- [Supabase Postgres Best Practices](https://hebbmind.com/de/skill/supabase-postgres-best-practices.md): [Skill] Postgres rules ranked by impact: query optimization, indexing, connection pooling, RLS security, schema design and lock troubleshooting, with wrong-vs-right SQL examples, applicable to any Postgres. Maintained by Supabase.
- [sqlite-utils](https://hebbmind.com/de/cli/sqlite-utils.md): [CLI] A CLI and Python library by Simon Willison: imports JSON and CSV straight into SQLite with automatic table creation, runs in-memory SQL queries over files, and supports full-text search and table transformations.
- [MySQL MCP Server](https://hebbmind.com/de/mcp/mysql-mcp-server.md): [MCP] Gives agents controlled access to MySQL: list databases and tables, inspect schemas and sample data, and run SQL, with multi-database mode, SSL and SSH tunnels. Configure your own database user, ideally with least privilege.
- [ClickHouse MCP Server](https://hebbmind.com/de/mcp/mcp-clickhouse.md): [MCP] Runs SQL queries against ClickHouse and browses databases and table schemas, read-only by default; can also enable embedded chDB to query data directly in files and URLs. Maintained by ClickHouse.
- [Neon MCP Server](https://hebbmind.com/de/mcp/mcp-server-neon.md): [MCP] Manage Postgres databases on Neon in natural language: create projects and branches, run SQL, and use branches for migrations and query tuning. Remote server hosted by Neon with OAuth or API key auth and a read-only mode; Neon recommends it for development only.
- [DuckDB Skills](https://hebbmind.com/de/skill/duckdb-skills.md): [Skill] Official DuckDB skills: query local or S3 CSV, Parquet, Excel and JSON files with SQL or plain language, attach databases, convert formats, analyze spatial data and look up documentation. Needs the DuckDB CLI; tested only on macOS and Linux.
- [ClickHouse Agent Skills](https://hebbmind.com/de/skill/clickhouse-agent-skills.md): [Skill] Official ClickHouse skills: best practices for schema design, primary keys, JOINs and inserts ranked by impact, advice on real-time architecture decisions, in-process SQL and pandas-compatible analysis with chDB, and local and cloud deployment workflows.
- [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.
- [Apache Doris MCP Server](https://hebbmind.com/de/mcp/doris-mcp-server.md): [MCP] Apache Doris's official MCP: gives agents read-only access to explore table metadata, run and explain SQL, diagnose slow queries, and check cluster status, load jobs and data governance info. Needs Python 3.12+ and Doris 2.0 or later.
- [Prisma Skills](https://hebbmind.com/de/skill/prisma-skills.md): [Skill] Prisma's official skills: the Prisma ORM CLI, Client query API, connection setup for various databases, a v6 to v7 upgrade guide, and deployment workflows for Prisma Postgres and Compute.
- [Snowflake Cortex Code](https://hebbmind.com/de/plugin/cortex-code.md): [Plugin] Snowflake's official plugin: detects Snowflake-related requests and hands them to the Cortex Code CLI, whose 55+ built-in skills handle SQL, dynamic tables, data governance and more. Needs the cortex CLI installed and a Snowflake connection configured.
- [Supabase Agent Plugin](https://hebbmind.com/de/plugin/supabase-plugin.md): [Plugin] Supabase's official plugin: Supabase and Postgres best-practice skills plus the Supabase remote MCP to manage projects, run SQL, design schemas and RLS policies, and handle auth and storage. Needs a Supabase account.
- [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.
