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# JDBCX MCP Server pydbcx-mcp is a Python implementation of MCP server for enabling communication with diverse data sources via JDBCX server.   [](https://smithery.ai/server/@jdbcx/pydbcx-mcp) [](https://mseep.ai/app/01a1230d-7407-4cd0-bc80-292b6f1079d6)  ## Installation ### Start JDBCX server Starts the JDBCX server container. Check out [here](https://github.com/jdbcx/jdbcx/tree/main/server) for more information. ```bash # Start the server docker run --rm --name bridge -d -p8080:8080 jdbcx/jdbcx server # Test if the server if ready curl -v 'http://localhost:8080/config' # Check server logs docker logs --tail=100 -f bridge # Shutdown the server docker stop bridge ``` ### Configure MCP server To install JDBCX MCP server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@jdbcx/pydbcx-mcp): ```bash npx -y @smithery/cli install @jdbcx/pydbcx-mcp --client claude ``` Alternatively, add the MCP server into your JSON config file. > Development/Unpublished Server Configuration ```json { "mcpServers": { "jdbcx": { "command": "uv", "args": [ "--directory", "</path/to/your/pydbcx-mcp/dir>", "run", "pydbcx-mcp" ], "env": { "DEFAULT_QUERY_TIMEOUT_SECONDS": "30", "JDBCX_SERVER_URL": "http://localhost:8080/", "JDBCX_SERVER_TOKEN": "", "MAX_ROWS_LIMIT": "5000" } } } } ``` > Published Server Configuration ```json { "mcpServers": { "jdbcx": { "command": "uvx", "args": ["pydbcx-mcp"], "env": { "DEFAULT_DATA_FORMAT": "md" } } } } ``` > Published SSE Server Configuration `…
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