MCP server exposing spark-advisor tools for Claude Desktop and other MCP clients
Project description
spark-advisor-mcp
MCP server exposing spark-advisor tools for Claude Desktop, Cursor, and other MCP clients. Part of the spark-advisor ecosystem.
Install
pip install spark-advisor-mcp
What it does
Provides 7 MCP tools via FastMCP (stdio transport) for AI-assisted Spark job analysis:
| Tool | Description |
|---|---|
analyze_spark_job |
Full analysis — rules engine + optional AI recommendations |
scan_recent_jobs |
List recent applications from History Server |
get_job_config |
Retrieve Spark configuration for a specific job |
suggest_config |
Generate optimized spark-defaults.conf |
explain_metric |
Explain a specific Spark metric or configuration parameter |
get_stage_details |
Detailed metrics for a specific stage |
compare_jobs |
Side-by-side comparison of two Spark jobs |
Setup with Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"spark-advisor": {
"command": "spark-advisor-mcp",
"env": {
"SA_ANALYZER_AI__API_KEY": "sk-or-...",
"SA_ANALYZER_AI__BASE_URL": "https://openrouter.ai/api/v1"
}
}
}
}
See full MCP setup guide for Cursor and Claude Code integration.
Links
License
Apache 2.0
Release history Release notifications | RSS feed
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