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README: Add information about the CrateDB SQLAlchemy dialect
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README.md

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@@ -10,7 +10,7 @@ Let Claude be your database expert! MCP Alchemy connects Claude Desktop directly
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- Analyze large datasets and create reports
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- Claude Desktop Can analyse and create artifacts for very large datasets using [claude-local-files](https://github.com/runekaagaard/claude-local-files).
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Works with PostgreSQL, MySQL, MariaDB, SQLite, Oracle, MS SQL Server and a host of other [SQLAlchemy-compatible](https://docs.sqlalchemy.org/en/20/dialects/) databases.
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Works with PostgreSQL, MySQL, MariaDB, SQLite, Oracle, MS SQL Server, CrateDB and a host of other [SQLAlchemy-compatible](https://docs.sqlalchemy.org/en/20/dialects/) databases.
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![MCP Alchemy in action](screenshot.png)
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@@ -101,6 +101,7 @@ Environment Variables:
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- MySQL: `mysql+pymysql://user:password@localhost/dbname`
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- MariaDB: `mariadb+pymysql://user:password@localhost/dbname`
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- SQLite: `sqlite:///path/to/database.db`
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- CrateDB: `crate://crate@localhost:4200/?schema=testdrive`
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- `CLAUDE_LOCAL_FILES_PATH`: Directory for full result sets (optional)
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- `EXECUTE_QUERY_MAX_CHARS`: Maximum output length (optional, default 4000)
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@@ -134,6 +135,12 @@ uv pip install pymssql
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# Oracle
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uv pip install cx_oracle
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# PostgreSQL
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uv pip install 'psycopg2-binary'
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# CrateDB
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uv pip install 'sqlalchemy-cratedb>=0.42.0.dev1'
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# Other databases
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# See: https://docs.sqlalchemy.org/en/20/dialects/
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```

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