MCP Pyodbc Server
M

MCP Pyodbc Server

A lightweight MCP server based on FastAPI and pyodbc, supporting ODBC to connect to multiple databases and providing rich database operation tools.
2 points
7.5K

What is the MCP ODBC Server?

The MCP ODBC Server is a tool built using the Model Context Protocol (MCP) to simplify access to ODBC - supported databases. It allows users to obtain table structures, data, and metadata in the database through simple commands.

How to use the MCP ODBC Server?

First, install the necessary dependencies, then set the environment variables according to your database configuration. After starting the server, you can use the provided commands to query database information or execute SQL queries.

Applicable Scenarios

This server is very suitable for application developers who need to quickly integrate database access, especially in scenarios where they want to interact using the standard MCP protocol.

Main Features

Get Schema List
List all available schema names in the connected database.
Get Table Information
Retrieve table information under a specific schema or all schemas.
Describe Table Structure
Generate a detailed description of the specified table, including column names, data types, nullability, etc.
Filter Table Names
Search for table names based on a string pattern and return matching results.
Execute Queries
Run standard SQL queries and return results in JSONL or Markdown table format.
Virtuoso - Supported AI Assistant
Interact with the Virtuoso - specific AI assistant to provide more intelligent support.
Advantages
Supports multiple database types.
Easy to integrate into existing systems.
Provides multiple result format options.
Powerful SQL query capabilities.
Limitations
Requires ODBC driver configuration.
Some advanced features may be limited to specific databases.
Has certain requirements for the network environment.

How to Use

Install Dependencies
Ensure that the uv tool and unixODBC are installed. You can install uv via pip.
Configure ODBC Data Source
Edit the ~/.odbc.ini file and add the configuration of the target database.
Start the Server
Run uv in the project directory to start the MCP ODBC server.

Usage Examples

Case 1: Get Table Structure
Describe the detailed information of the employees table.
Case 2: Execute SQL Query
Run a simple SQL query and get the JSONL result.

Frequently Asked Questions

How to install the uv tool?
Why is my query not returning results?

Related Resources

Official Documentation
Detailed user manual and technical documentation.
GitHub Repository
Source code and contribution guidelines.
MCP Inspector
Tool for debugging MCP servers.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "my_database": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcp-pyodbc-server", "run", "mcp-pyodbc-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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