MCP.so
ログイン

MCP Server ODBC via PyODBC

@OpenLinkSoftware

MCP Server ODBC via PyODBC について

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

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

OpenLinkSoftware

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

Where does the data live?

The data remains in the remote database system accessed through the ODBC connection. No data is stored locally by the server.

What transport protocol does the server use?

The server communicates over standard MCP via stdio. For debugging, the MCP Inspector can be used with npx.

コメント

「その他」の他のコンテンツ