Spark SQL
io.github.aidancorrell/spark-sql-mcp-server ยท version 0.1.2
Community listing. Not installed or verified by cosmic-mcp. Read the source and its permissions before you run it.
Query Spark SQL clusters via Thrift/HiveServer2. Works with Spark, EMR, Hive, Impala.
https://github.com/aidancorrell/spark-sql-mcp-serverQuick facts
- Listing: Community
- Published Feb 8, 23:39 UTC
- Transport: stdio
- Package: pypi
spark-sql-mcp-server0.1.2 - Listed by cosmic-mcp: Nov 8, 18:59 UTC
Details
- Repository: https://github.com/aidancorrell/spark-sql-mcp-server
- PyPI: https://pypi.org/project/spark-sql-mcp-server/
- Needs settings:
SPARK_HOSTSPARK_PORTSPARK_DATABASESPARK_AUTHSPARK_USERNAMESPARK_PASSWORDSPARK_KERBEROS_SERVICE_NAME
Setup snippets
Generated from the registry entry. cosmic-mcp has not run or reviewed this server; values in angle brackets are yours to fill in.
Run it locally (pypi)
uvx 'spark-sql-mcp-server==0.1.2'Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"spark-sql-mcp-server": {
"args": [
"spark-sql-mcp-server==0.1.2"
],
"command": "uvx",
"env": {
"SPARK_AUTH": "<your spark auth>",
"SPARK_DATABASE": "<your spark database>",
"SPARK_HOST": "<your spark host>",
"SPARK_KERBEROS_SERVICE_NAME": "<your spark kerberos service name>",
"SPARK_PASSWORD": "<your spark password>",
"SPARK_PORT": "<your spark port>",
"SPARK_USERNAME": "<your spark username>"
}
}
}
}Claude Code
claude mcp add 'spark-sql-mcp-server' -- uvx 'spark-sql-mcp-server==0.1.2'Cursor (.cursor/mcp.json)
{
"mcpServers": {
"spark-sql-mcp-server": {
"args": [
"spark-sql-mcp-server==0.1.2"
],
"command": "uvx",
"env": {
"SPARK_AUTH": "<your spark auth>",
"SPARK_DATABASE": "<your spark database>",
"SPARK_HOST": "<your spark host>",
"SPARK_KERBEROS_SERVICE_NAME": "<your spark kerberos service name>",
"SPARK_PASSWORD": "<your spark password>",
"SPARK_PORT": "<your spark port>",
"SPARK_USERNAME": "<your spark username>"
}
}
}
}VS Code (.vscode/mcp.json)
{
"servers": {
"spark-sql-mcp-server": {
"args": [
"spark-sql-mcp-server==0.1.2"
],
"command": "uvx",
"env": {
"SPARK_AUTH": "<your spark auth>",
"SPARK_DATABASE": "<your spark database>",
"SPARK_HOST": "<your spark host>",
"SPARK_KERBEROS_SERVICE_NAME": "<your spark kerberos service name>",
"SPARK_PASSWORD": "<your spark password>",
"SPARK_PORT": "<your spark port>",
"SPARK_USERNAME": "<your spark username>"
},
"type": "stdio"
}
}
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