What are the runtime dependencies?
Requires Python with `uv`, the `unixODBC` runtime, and an installed ODBC driver for the target database. An ODBC DSN must be configured in `~/.odbc.ini`.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"OpenLinkSoftware_mcp-pyodbc-server": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"uv",
"--directory",
"/path/to/mcp-pyodbc-server",
"run",
"mcp-pyodbc-server"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A lightweight MCP (Model Context Protocol) server built with FastAPI and pyodbc that enables AI agents to interact with ODBC-compatible databases. It is compatible with Virtuoso DBMS and other DBMS backends that have an ODBC driver.
Clone the repository, set environment variables (ODBC_DSN, ODBC_USER, ODBC_PASSWORD, API_KEY) in a .env file, and configure an MCP client like Claude Desktop by adding a claude_desktop_config.json entry with the command uv --directory /path/to/mcp-pyodbc-server run mcp-pyodbc-server and the required environment variables.
Requires Python with `uv`, the `unixODBC` runtime, and an installed ODBC driver for the target database. An ODBC DSN must be configured in `~/.odbc.ini`.
Authentication is handled via an environment variable `API_KEY` set by the client (e.g., in `claude_desktop_config.json`).
Yes. The core ODBC functions (get schemas, tables, describe table, execute queries) work with any database that has an ODBC driver. Virtuoso-specific tools (SPASQL/SPARQL, AI Assistant) only apply to Virtuoso.
The server does not store data; it connects to a remote database via ODBC using the configured DSN.
The server runs as a subprocess managed by the MCP client (e.g., Claude Desktop) over stdio, as configured in `claude_desktop_config.json`.

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