MCP Alchemy
M

MCP Alchemy

Certified
MCP Alchemy is a tool that connects Claude Desktop to multiple databases, supporting SQL queries, database structure analysis, and data report generation.
4.2 points
12.7K

What is MCP Alchemy?

MCP Alchemy helps you explore, understand, and operate databases by directly connecting Claude Desktop to your database. It can generate SQL query suggestions, display table relationships, analyze large data sets, and create reports.

How to use MCP Alchemy?

Simply add database connection information in the Claude Desktop configuration to start using MCP Alchemy for data analysis.

Applicable scenarios

Suitable for developers and technical personnel who need to quickly understand the database structure, write SQL queries, and analyze data sets.

Main features

Database structure exploration
Help users view and understand the tables and their relationships in the database.
SQL query assistant
Provide SQL query suggestions and verify the correctness of query statements.
Large data set analysis
Support processing very large data sets and generate detailed analysis reports.
Local file integration
Access the complete query results through claude-local-files.
Advantages
Support multiple mainstream databases (such as PostgreSQL, MySQL, SQLite, etc.).
Intuitive and easy-to-use interface design.
Powerful large data set analysis ability.
Complete database operations without writing complex code.
Limitations
Specific drivers may need to be installed for some special databases.
Dependent on the operating environment of Claude Desktop.
The performance for extremely large data sets may be limited.

How to use

Install the uv tool
Ensure that the uv tool is installed to start the MCP Alchemy service.
Configure Claude Desktop
Add the MCP Alchemy service to the configuration file of Claude Desktop.
Test the connection
Start Claude Desktop and check if the database is successfully connected.

Usage examples

Query all users
Get a list of all users in the database.
Analyze order data
Count the number of orders for each user.

Frequently Asked Questions

Which databases does MCP Alchemy support?
How to handle extremely large data sets?

Related resources

GitHub repository
The open-source code repository of MCP Alchemy.
Claude Desktop official website
The official website of Claude Desktop.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "my_sqlite_db": {
      "command": "uvx",
      "args": ["--from", "mcp-alchemy==2025.04.16.110003",
               "--refresh-package", "mcp-alchemy", "mcp-alchemy"],
      "env": {
        "DB_URL": "sqlite:////absolute/path/to/database.db"
      }
    }
  }
}

{
  "mcpServers": {
    "my_postgres_db": {
      "command": "uvx",
      "args": ["--from", "mcp-alchemy==2025.04.16.110003", "--with", "psycopg2-binary",
               "--refresh-package", "mcp-alchemy", "mcp-alchemy"],
      "env": {
        "DB_URL": "postgresql://user:password@localhost/dbname"
      }
    }
  }
}

{
  "mcpServers": {
    "my_mysql_db": {
      "command": "uvx",
      "args": ["--from", "mcp-alchemy==2025.04.16.110003", "--with", "pymysql",
               "--refresh-package", "mcp-alchemy", "mcp-alchemy"],
      "env": {
        "DB_URL": "mysql+pymysql://user:password@localhost/dbname"
      }
    }
  }
}

{
  "mcpServers": {
    "my_mssql_db": {
      "command": "uvx",
      "args": ["--from", "mcp-alchemy==2025.04.16.110003", "--with", "pymssql",
               "--refresh-package", "mcp-alchemy", "mcp-alchemy"],
      "env": {
        "DB_URL": "mssql+pymssql://user:password@localhost/dbname"
      }
    }
  }
}

{
  "mcpServers": {
    "my_oracle_db": {
      "command": "uvx",
      "args": ["--from", "mcp-alchemy==2025.04.16.110003", "--with", "cx_oracle",
               "--refresh-package", "mcp-alchemy", "mcp-alchemy"],
      "env": {
        "DB_URL": "oracle+cx_oracle://user:password@localhost/dbname"
      }
    }
  }
}

{
  "mcpServers": {
    "my_cratedb": {
      "command": "uvx",
      "args": ["--from", "mcp-alchemy==2025.04.16.110003", "--with", "sqlalchemy-cratedb>=0.42.0.dev1",
               "--refresh-package", "mcp-alchemy", "mcp-alchemy"],
      "env": {
        "DB_URL": "crate://user:password@localhost:4200/?schema=testdrive"
      }
    }
  }
}
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