MCP Server ODBC via PyODBC

Name: MCP Server ODBC via PyODBC
Author: OpenLinkSoftware

@OpenLinkSoftware

代码仓库

关于 MCP Server ODBC via PyODBC

A simple MCP ODBC server using FastAPI, ODBC and PyODBC.

基本信息

分类

其他

许可证

MIT

运行时

python

传输方式

stdio

发布者

OpenLinkSoftware

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-pyodbc-server": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "uv",
        "--directory",
        "/path/to/mcp-pyodbc-server",
        "run",
        "mcp-pyodbc-server"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Server ODBC via PyODBC?

It is a lightweight MCP (Model Context Protocol) server that provides ODBC database access via FastAPI and pyodbc. It is compatible with Virtuoso DBMS and any other DBMS that has an ODBC driver.

How to use MCP Server ODBC via PyODBC?

Install uv and configure an ODBC Data Source Name (DSN) in ~/.odbc.ini. Clone the repository, set environment variables (ODBC_DSN, ODBC_USER, ODBC_PASSWORD, API_KEY) in a .env file. For Claude Desktop, add the server to claude_desktop_config.json using the uv command. The server exposes tools such as podbc_get_schemas, podbc_get_tables, podbc_describe_table, podbc_filter_table_names, podbc_query_database, and Virtuoso‑specific tools.

Key features of MCP Server ODBC via PyODBC

List database schemas via podbc_get_schemas
Retrieve table names and metadata per schema
Describe table structure including columns, keys, and nullability
Search tables by name substring
Execute SQL queries returning JSONL or Markdown results
Support for Virtuoso‑specific SPASQL queries and AI assistant

Use cases of MCP Server ODBC via PyODBC

Discover available schemas and tables in any ODBC‑connected database
Inspect table definitions for data modeling or migration tasks
Execute SQL queries from MCP clients and receive structured results
Run SPASQL (SQL/SPARQL hybrid) queries against Virtuoso DBMS
Interact with Virtuoso’s AI Support Assistant via a dedicated tool

FAQ from MCP Server ODBC via PyODBC

What are the runtime dependencies?

uv (package installer), pyodbc, and unixODBC with a properly configured ODBC DSN. An .env file must set ODBC_DSN, ODBC_USER, ODBC_PASSWORD, and API_KEY.

Which databases are supported?

Any DBMS that provides an ODBC driver. Virtuoso is explicitly supported, and the server works with other ODBC‑compatible databases.

How is authentication handled?

Authentication is passed via environment variables (ODBC_USER, ODBC_PASSWORD) or per‑call optional parameters. An API_KEY is used for additional security and can be configured in the environment.