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Openlinksoftware MCP Sqlalchemy Server

A lightweight MCP server based on FastAPI, pyodbc, and SQLAlchemy, supporting connection to multiple database management systems (such as Virtuoso DBMS) via ODBC, providing functions for querying database schemas and table structures and executing SQL.
2 points
13

What is the MCP SQLalchemy Server?

The MCP SQLalchemy Server is a lightweight Model Context Protocol (MCP) server implemented through FastAPI, pyodbc, and SQLAlchemy. It allows users to interact with multiple database management systems (such as Virtuoso, PostgreSQL, MySQL, etc.) via simple API calls, performing operations like getting schemas, describing table structures, and executing queries.

How to use the MCP SQLalchemy Server?

First, you need to install the server and set up the ODBC connection. Then, execute queries and operations through the provided API interfaces. For example, you can list the tables in the database or execute complex SQL queries and get the results.

Applicable Scenarios

Suitable for developers and enterprises that need efficient access to database resources, especially when dealing with large - scale data sets.

Main Features

Get SchemasList the names of all schemas in the database.
Get TablesRetrieve table information under a specific schema or all schemas.
Describe Table StructureGenerate a detailed description of the table structure, including column names, data types, nullability, primary keys, and foreign keys.
Search TablesFilter and retrieve tables based on name substrings.
Execute Stored ProceduresExecute stored procedures and return results when supported.
Execute QueriesExecute SQL queries, supporting results in JSONL and Markdown formats.
Virtuoso Support for AIInteract with intelligent agents supported by Virtuoso to enhance the user experience.

Advantages and Limitations

Advantages
Easy to integrate with multiple database systems.
Supports multiple result formats to meet different needs.
Provides a rich set of API interfaces for developers' convenience.
Has good performance and high efficiency when dealing with large amounts of data.
Limitations
Highly dependent on the database and may require additional ODBC environment configuration.
Some advanced features may require specific database support.
Initial configuration may require a certain technical background.

How to Use

Install the MCP SQLalchemy Server
Clone the project repository and install the required dependencies.
Configure the ODBC Connection
Edit the.env file and fill in the correct ODBC connection information.
Start the Server
Run the server and listen on the specified port.

Usage Examples

List All SchemasGet all available schemas in the database.
Describe Table StructureGet the detailed structure of a specific table under a certain schema.

Frequently Asked Questions

How to install the MCP SQLalchemy Server?
How to configure the ODBC connection?
How to execute queries?

Related Resources

Official Documentation
Comprehensively understand the detailed information of the MCP SQLalchemy Server.
GitHub Repository
View the source code and contribute.
Installation Guide
Step - by - step installation guide.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "my_database": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcp-sqlalchemy-server", "run", "mcp-sqlalchemy-server"],
      "env": {
        "ODBC_DSN": "dsn_name",
        "ODBC_USER": "username",
        "ODBC_PASSWORD": "password",
        "API_KEY": "sk-xxx"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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