7 months ago
Python MCP server for enabling data communication (databases, web services, scripts) via JDBCX server.
Overview
what is pydbcx-mcp?
pydbcx-mcp is a Python MCP server designed to facilitate communication with various data sources through a JDBCX server.
how to use pydbcx-mcp?
To use pydbcx-mcp, set up the server by following the installation instructions on the GitHub repository, and configure it to connect to your desired data sources.
key features of pydbcx-mcp?
- Enables seamless communication with diverse data sources.
- Built on Python for easy integration and customization.
- Utilizes JDBCX for enhanced data connectivity.
use cases of pydbcx-mcp?
- Connecting Python applications to SQL databases via JDBC.
- Integrating data from multiple sources into a single application.
- Facilitating data analysis and reporting from various data sources.
FAQ from pydbcx-mcp?
- What is JDBCX?
JDBCX is a protocol that allows for enhanced communication between applications and data sources.
- Is pydbcx-mcp open source?
Yes! pydbcx-mcp is open source and available under the Apache-2.0 license.
- How can I contribute to pydbcx-mcp?
You can contribute by submitting issues or pull requests on the GitHub repository.
Server Config
{
"mcpServers": {
"jdbcx": {
"command": "uvx",
"args": [
"pydbcx-mcp"
],
"env": {
"DEFAULT_QUERY_TIMEOUT_SECONDS": "30",
"JDBCX_SERVER_URL": "http://localhost:8080/",
"JDBCX_SERVER_TOKEN": ""
}
}
}
}