Mcp Alchemy

什么是 MCP-Alchemy？

MCP-Alchemy 是一个模型上下文协议（MCP）服务器，旨在为大型语言模型（LLM）提供对各种关系数据库的访问和知识。这包括流行的数据库，如 SQLite、PostgreSQL、MySQL、MariaDB、Oracle 和 MS-SQL。通过利用 MCP-Alchemy，开发人员可以增强他们的应用程序，使其能够与这些数据库无缝交互，从而实现更动态和数据驱动的功能。

MCP-Alchemy 的特点

• 多数据库支持：MCP-Alchemy 支持多种关系数据库，允许灵活的集成和数据管理。
• 增强的 LLM 交互：它使 LLM 能够从数据库中检索和操作数据，使其更强大且具有上下文感知能力。
• 开源：该项目是公开可用的，鼓励全球开发人员的协作和贡献。
• 用户友好的界面：MCP-Alchemy 以可用性为设计理念，为开发人员提供了一个简单的界面以与数据库交互。
• 强大的文档：提供全面的文档，以帮助用户有效地设置和使用服务器。

如何使用 MCP-Alchemy

1. 安装：首先从 GitHub 克隆 MCP-Alchemy 仓库。使用以下命令：

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

2. 设置：按照文档中的安装说明，在本地计算机或服务器环境中设置服务器。
3. 配置：通过根据您的数据库凭据修改配置文件，配置服务器以连接到您所需的关系数据库。
4. 集成：通过使用提供的 API 端点发送查询并接收响应，将 MCP-Alchemy 与您的 LLM 应用程序集成。
5. 测试：通过运行示例查询来测试集成，以确保 LLM 能够按预期访问和操作数据。

常见问题解答

MCP-Alchemy 支持哪些数据库？

MCP-Alchemy 支持几种关系数据库，包括 SQLite、PostgreSQL、MySQL、MariaDB、Oracle 和 MS-SQL。

MCP-Alchemy 是免费使用的吗？

是的，MCP-Alchemy 是一个开源项目，依据 MPL-2.0 许可证免费使用。

我如何可以为 MCP-Alchemy 贡献？

您可以通过分叉仓库、进行改进并提交拉取请求来贡献。此外，您还可以通过 GitHub 问题页面报告问题或建议功能。

我在哪里可以找到文档？

文档在仓库中可用，提供有关安装、配置和使用的详细说明。

MCP-Alchemy 可以在生产环境中使用吗？

是的，MCP-Alchemy 设计得很稳健，可以在生产环境中使用，前提是经过适当配置和测试。

MCP Alchemy

<a href="https://www.pulsemcp.com/servers/runekaagaard-alchemy"><img src="https://www.pulsemcp.com/badge/top-pick/runekaagaard-alchemy" width="400" alt="PulseMCP Badge"></a>

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

Status2: I just added the package to PyPI and updated the usage instructions. Please report any issues :)

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.

Works with PostgreSQL, MySQL, MariaDB, SQLite, Oracle, MS SQL Server, CrateDB, Vertica, and a host of other SQLAlchemy-compatible databases.

Installation

Ensure you have uv installed:

### Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

Usage with Claude Desktop

Add to your claude_desktop_config.json. You need to add the appropriate database driver in the --with parameter.

Note: After a new version release there might be a period of up to 600 seconds while the cache clears locally cached causing uv to raise a versioning error. Restarting the MCP client once again solves the error.

SQLite (built into Python)

{
  "mcpServers": {
    "my_sqlite_db": {
      "command": "uvx",
      "args": ["--from", "mcp-alchemy==2025.8.15.91819",
               "--refresh-package", "mcp-alchemy", "mcp-alchemy"],
      "env": {
        "DB_URL": "sqlite:////absolute/path/to/database.db"
      }
    }
  }
}

PostgreSQL

{
  "mcpServers": {
    "my_postgres_db": {
      "command": "uvx",
      "args": ["--from", "mcp-alchemy==2025.8.15.91819", "--with", "psycopg2-binary",
               "--refresh-package", "mcp-alchemy", "mcp-alchemy"],
      "env": {
        "DB_URL": "postgresql://user:password@localhost/dbname"
      }
    }
  }
}

MySQL/MariaDB

{
  "mcpServers": {
    "my_mysql_db": {
      "command": "uvx",
      "args": ["--from", "mcp-alchemy==2025.8.15.91819", "--with", "pymysql",
               "--refresh-package", "mcp-alchemy", "mcp-alchemy"],
      "env": {
        "DB_URL": "mysql+pymysql://user:password@localhost/dbname"
      }
    }
  }
}

Microsoft SQL Server

{
  "mcpServers": {
    "my_mssql_db": {
      "command": "uvx",
      "args": ["--from", "mcp-alchemy==2025.8.15.91819", "--with", "pymssql",
               "--refresh-package", "mcp-alchemy", "mcp-alchemy"],
      "env": {
        "DB_URL": "mssql+pymssql://user:password@localhost/dbname"
      }
    }
  }
}

Oracle

{
  "mcpServers": {
    "my_oracle_db": {
      "command": "uvx",
      "args": ["--from", "mcp-alchemy==2025.8.15.91819", "--with", "oracledb",
               "--refresh-package", "mcp-alchemy", "mcp-alchemy"],
      "env": {
        "DB_URL": "oracle+oracledb://user:password@localhost/dbname"
      }
    }
  }
}

CrateDB

{
  "mcpServers": {
    "my_cratedb": {
      "command": "uvx",
      "args": ["--from", "mcp-alchemy==2025.8.15.91819", "--with", "sqlalchemy-cratedb>=0.42.0.dev1",
               "--refresh-package", "mcp-alchemy", "mcp-alchemy"],
      "env": {
        "DB_URL": "crate://user:password@localhost:4200/?schema=testdrive"
      }
    }
  }
}

For connecting to CrateDB Cloud, use a URL like crate://user:password@example.aks1.westeurope.azure.cratedb.net:4200?ssl=true.

Vertica

{
  "mcpServers": {
    "my_vertica_db": {
      "command": "uvx",
      "args": ["--from", "mcp-alchemy==2025.8.15.91819", "--with", "vertica-python",
               "--refresh-package", "mcp-alchemy", "mcp-alchemy"],
      "env": {
        "DB_URL": "vertica+vertica_python://user:password@localhost:5433/dbname",
        "DB_ENGINE_OPTIONS": "{\"connect_args\": {\"ssl\": false}}"
      }
    }
  }
}

Environment Variables

• DB_URL: SQLAlchemy database URL (required)
• CLAUDE_LOCAL_FILES_PATH: Directory for full result sets (optional)
• EXECUTE_QUERY_MAX_CHARS: Maximum output length (optional, default 4000)
• DB_ENGINE_OPTIONS: JSON string containing additional SQLAlchemy engine options (optional)

Connection Pooling

MCP Alchemy uses connection pooling optimized for long-running MCP servers. The default settings are:

• pool_pre_ping=True: Tests connections before use to handle database timeouts and network issues
• pool_size=1: Maintains 1 persistent connection (MCP servers typically handle one request at a time)
• max_overflow=2: Allows up to 2 additional connections for burst capacity
• pool_recycle=3600: Refreshes connections older than 1 hour (prevents timeout issues)
• isolation_level='AUTOCOMMIT': Ensures each query commits automatically

These defaults work well for most databases, but you can override them via DB_ENGINE_OPTIONS:

{
  "DB_ENGINE_OPTIONS": "{\"pool_size\": 5, \"max_overflow\": 10, \"pool_recycle\": 1800}"
}

For databases with aggressive timeout settings (like MySQL's 8-hour default), the combination of pool_pre_ping and pool_recycle ensures reliable connections.

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 integration
    • Clean NULL value display
    • ISO formatted dates
    • Clear row separation

Claude Local Files

When 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.

Developing

First clone the github repository, install the dependencies and your database driver(s) of choice:

git clone git@github.com:runekaagaard/mcp-alchemy.git
cd mcp-alchemy
uv sync
uv pip install psycopg2-binary

Then set this in claude_desktop_config.json:

...
"command": "uv",
"args": ["run", "--directory", "/path/to/mcp-alchemy", "-m", "mcp_alchemy.server", "main"],
...

My Other LLM Projects

• MCP Redmine - Let Claude Desktop manage your Redmine projects and issues.
• MCP Notmuch Sendmail - Email assistant for Claude Desktop using notmuch.
• Diffpilot - Multi-column git diff viewer with file grouping and tagging.
• Claude Local Files - Access local files in Claude Desktop artifacts.

MCP Directory Listings

MCP Alchemy is listed in the following MCP directory sites and repositories:

• PulseMCP
• Glama
• MCP.so
• MCP Archive
• Playbooks MCP
• Awesome MCP Servers

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