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MCP Alchemy

Source

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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Overview

MCP-Alchemy is a Python server implementing the Model Context Protocol (MCP) for SQL database operations, designed to give Machine Learning Models access to relational databases like SQLite, PostgreSQL, MySQL, MariaDB, Oracle, and MS-SQL.

To use MCP-Alchemy, clone the repository, set up the appropriate database connection details in the environment variables, and run the server using the provided command structure in your configuration file.

  • Execute SQL queries with readable vertical output format. - Introspect database schemas and column relationships. - List and filter tables in the database. - Handle large result sets with smart truncation. - Allow full result access via Claude Desktop artifacts. - Clean handling of NULL values and date formats.
  1. Integrating LLMs with SQL databases for enhanced data retrieval.
  2. Simplifying SQL query execution and output formatting for developers.
  3. Facilitating database introspection and schema management for data engineers.

Add to your AI client

Use these steps to connect MCP Alchemy in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "mcp-alchemy-runekaagaard": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-alchemy-runekaagaard"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "mcp-alchemy-runekaagaard": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-alchemy-runekaagaard"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "mcp-alchemy-runekaagaard": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-alchemy-runekaagaard"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "mcp-alchemy-runekaagaard": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-alchemy-runekaagaard"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "mcp-alchemy-runekaagaard": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-alchemy-runekaagaard"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "mcp-alchemy-runekaagaard": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-alchemy-runekaagaard"
      ]
    }
  }
}

FAQ

**What databases are supported?**

MCP-Alchemy supports any SQLAlchemy compatible database, including MySQL, PostgreSQL, SQLite, Oracle, and MS-SQL.

**Do I need to install anything to run MCP-Alchemy?**

Yes, you need to set up your database connection details via environment variables as outlined in the documentation before running the server.

**Is there a limit on the query length supported by MCP-Alchemy?**

Yes, the default maximum output length is 4000 characters, but this can be increased by setting the `EXECUTE_QUERY_MAX_CHARS` environment variable.7:["$","div",null,{"className":"container mx-auto flex flex-col gap-4","children":["$L26","$L27",["$","$L28",null,{"currentProject":{"id":492,"uuid":"c33a8ac8-dbf0-42a7-af10-57143a83e392","name":"mcp-alchemy","title":"MCP Alchemy","description":"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.","avatar_url":"https://avatars.githubusercontent.com/u/378464?v=4","created_at":"2024-12-30T02:51:28.378+00:00","updated_at":"2025-01-05T02:55:05.678+00:00","status":"created","author_name":"runekaagaard","author_avatar_url":"https://avatars.githubusercontent.com/u/378464?v=4","tags":"[]","category":"databases","is_featured":false,"sort":1,"url":"https://github.com/runekaagaard/mcp-alchemy","target":"_self","content":"$29","summary":"$2a","img_url":"https://camo.githubusercontent.com/23a40cb4140c34c70e1dcfbb69c537ea7583f269533f1d16e60743f321cbcecc/68747470733a2f2f7777772e70756c73656d63702e636f6d2f62616467652f746f702d7069636b2f72756e656b616167616172642d616c6368656d79","type":null,"metadata":"{\"star\":\"218\",\"license\":\"MPL-2.0 license\",\"language\":\"Python\",\"is_official\":false,\"latest_commit_time\":\"2025-05-23 17:06:22\"}","user_uuid":null,"tools":null,"sse_url":null,"sse_provider":null,"sse_params":null,"is_official":false,"server_command":null,"server_params":null,"server_config":null,"allow_call":false,"is_innovation":false,"is_dxt":false,"dxt_manifest":null,"dxt_file_url":null,"is_audit":false},"randomProjects":[],"currentServerKey":"$undefined"}]]}]

Databases