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https://github.com/runekaagaard/mcp-alchemy

A MCP (model context protocol) server that gives the LLM access to and knowledge about relational databases like SQLite, Postgresql, MySQL & MariaDB, Oracle, and MS-SQL.
https://github.com/runekaagaard/mcp-alchemy

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A MCP (model context protocol) server that gives the LLM access to and knowledge about relational databases like SQLite, Postgresql, MySQL & MariaDB, Oracle, and MS-SQL.

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README 

        
# MCP Alchemy



**Status: Works great and is in daily use without any known bugs.**



**Status 2: I'm currently working on publishing it to PYPI and finding the most userfriendly way to run it with uvx, so inspect installation instructions to change during the next couple of weeks.**



Let Claude be your database expert! MCP Alchemy connects Claude Desktop directly to your databases, allowing it to:



- Help you explore and understand your database structure

- Assist in writing and validating SQL queries

- Displays relationships between tables

- Analyze large datasets and create reports

- Claude Desktop Can analyse and create artifacts for very large datasets using [claude-local-files](https://github.com/runekaagaard/claude-local-files).



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.



![MCP Alchemy in action](screenshot.png)



## API



### Tools



- **all_table_names**

  - Return all table names in the database

  - No input required

  - Returns comma-separated list of tables

  ```

  users, orders, products, categories

  ```



- **filter_table_names**

  - Find tables matching a substring

  - Input: `q` (string)

  - Returns matching table names

  ```

  Input: "user"

  Returns: "users, user_roles, user_permissions"

  ```



- **schema_definitions**

  - Get detailed schema for specified tables

  - Input: `table_names` (string[])

  - Returns table definitions including:

    - Column names and types

    - Primary keys

    - Foreign key relationships

    - Nullable flags

  ```

  users:

      id: INTEGER, primary key, autoincrement

      email: VARCHAR(255), nullable

      created_at: DATETIME

      

      Relationships:

        id -> orders.user_id

  ```



- **execute_query**

  - Execute SQL query with vertical output format

  - Inputs:

    - `query` (string): SQL query

    - `params` (object, optional): Query parameters

  - Returns results in clean vertical format:

  ```

  1. row

  id: 123

  name: John Doe

  created_at: 2024-03-15T14:30:00

  email: NULL



  Result: 1 rows

  ```

  - Features:

    - Smart truncation of large results

    - Full result set access via [claude-local-files](https://github.com/runekaagaard/claude-local-files) integration

    - Clean NULL value display

    - ISO formatted dates

    - Clear row separation



## Usage with Claude Desktop



Add to your `claude_desktop_config.json`:



```json

{

  "mcpServers": {

    "my_database": {

      "command": "uv",

      "args": ["--directory", "/path/to/mcp-alchemy", "run", "mcp_alchemy.py"],

      "env": {

        "DB_URL": "mysql+pymysql://root:secret@localhost/databasename",

      }

    }

  }

}

```



Environment Variables:



- `DB_URL`: SQLAlchemy [database URL](https://docs.sqlalchemy.org/en/20/core/engines.html#database-urls) (required)

  Examples:

  - PostgreSQL: `postgresql://user:password@localhost/dbname`

  - MySQL: `mysql+pymysql://user:password@localhost/dbname`

  - MariaDB: `mariadb+pymysql://user:password@localhost/dbname`

  - SQLite: `sqlite:///path/to/database.db`

- `CLAUDE_LOCAL_FILES_PATH`: Directory for full result sets (optional)

- `EXECUTE_QUERY_MAX_CHARS`: Maximum output length (optional, default 4000)



## Installation



1. Clone repository:

```bash

git clone https://github.com/runekaagaard/mcp-alchemy.git

```



2. Ensure you have uv

```bash

# Install uv if you haven't already

curl -LsSf https://astral.sh/uv/install.sh | sh

```



3. Add database to claude_desktop_config.json (see above)



## Database Drivers



The following database drivers are included by default:

- SQLite: Built into Python, no additional installation needed

- MySQL/MariaDB: Via `pymysql`

- PostgreSQL: Via `psycopg2-binary`



To use other databases supported by SQLAlchemy, install the appropriate driver:

```bash

# Microsoft SQL Server

uv pip install pymssql



# Oracle

uv pip install cx_oracle



# Other databases

# See: https://docs.sqlalchemy.org/en/20/dialects/

```



## Claude Local Files



When [claude-local-files](https://github.com/runekaagaard/claude-local-files) is configured:



- Access complete result sets beyond Claude's context window

- Generate detailed reports and visualizations

- Perform deep analysis on large datasets

- Export results for further processing



The integration automatically activates when `CLAUDE_LOCAL_FILES_PATH` is set.



## Contributing



Contributions are warmly welcomed! Whether it's bug reports, feature requests, documentation improvements, or code contributions - all input is valuable. Feel free to:



- Open an issue to report bugs or suggest features

- Submit pull requests with improvements

- Enhance documentation or share your usage examples

- Ask questions and share your experiences



The goal is to make database interaction with Claude even better, and your insights and contributions help achieve that.



## License



Mozilla Public License Version 2.0