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runekaagaard/mcp-alchemy

Score: 46.5 Rank #364

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.

Overview

runekaagaard/mcp-alchemy is a Python MCP server licensed under MPL-2.0. 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.

Ranked #364 out of 25632 indexed tools.

In the top 2% of all indexed tools.

Ecosystem

Python MPL-2.0

Signal Breakdown

Stars 397
Freshness 7mo ago
Issue Health 100%
Contributors 6
Dependents 0
Forks 61
Description Detailed
License MPL-2.0

How to Improve

Freshness high impact

Last commit was 213 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

"model context protocol""model-context-protocol"

From the README

# MCP Alchemy

<a href="https://www.pulsemcp.com/servers/runekaagaard-alchemy"></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](https://github.com/runekaagaard/claude-local-files).

Works with PostgreSQL, MySQL, MariaDB, SQLite, Oracle, MS SQL Server, CrateDB, Vertica,
and a host of other [SQLAlchemy-compatible](https://docs.sqlalchemy.org/en/20/dialects/) databases.

## Installation

Ensure you have uv installed:
```bash
# Install uv if you haven't al
Read full README on GitHub →
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