Spark MCP Optimizer
Rank #8983glama/vgiri2015/ai-spark-mcp-server
Optimizes Apache Spark code by analyzing PySpark queries and applying performance enhancements for resource management, execution tuning, and query optimization, resulting in significantly faster job execution.
Spark MCP Optimizer is a Model Context Protocol (MCP) server published by vgiri2015. It ranks #8983 of 58,832 servers tracked on MCP Toplist, and its repository has 29 GitHub stars. Spark MCP Optimizer is listed across 2 registries — PulseMCP and Glama, and ships as a single rolling release with no explicit version metadata. It was first listed on Mar 23, 2025.
Ranks ahead of 49,849 of 58,832 servers on MCP Toplist.
Use Spark MCP Optimizer
Spark MCP Optimizer doesn’t publish a machine-readable install config. Follow the setup instructions in its repository ↗, or open one of its registry listings above.
Listed on 2 registries
vgiri2015
Not versioned
This server is published through registries that do not expose explicit version metadata, and no GitHub release tags were found on the linked repository. The listing tracks a single rolling release.
Frequently asked questions
- What is Spark MCP Optimizer?
- Optimizes Apache Spark code by analyzing PySpark queries and applying performance enhancements for resource management, execution tuning, and query optimization, resulting in significantly faster job execution.
- Who maintains Spark MCP Optimizer?
- Spark MCP Optimizer is maintained by vgiri2015, which publishes 1 MCP server (0 total versions) tracked on MCP Toplist.
- Is Spark MCP Optimizer an official MCP server?
- Spark MCP Optimizer is not on the Official MCP Registry. It is listed on PulseMCP and Glama.
- How many versions does Spark MCP Optimizer have?
- Spark MCP Optimizer ships as a single rolling release with no explicit version metadata.
- Where can I find the source code for Spark MCP Optimizer?
- The source code for Spark MCP Optimizer is hosted at github.com/vgiri2015/ai-spark-mcp-server.