Spark History MCP Server
Rank #50084glama/ravipesala/spark_mcp_optimizer
Exposes Spark History Server metrics and metadata as tools for LLM-based analysis of Spark applications. It enables deep optimization of Spark jobs by providing access to job summaries, stage details, SQL execution plans, and executor performance.
Spark History MCP Server is a Model Context Protocol (MCP) server published by ravipesala. It ranks #50084 of 58,832 servers tracked on MCP Toplist. Spark History MCP Server is listed on Glama, and ships as a single rolling release with no explicit version metadata. It was first listed on Jan 16, 2026.
Ranks ahead of 8,748 of 58,832 servers on MCP Toplist.
Use Spark History MCP Server
Spark History MCP Server 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 1 registry
ravipesala
Not versioned
This server is published through a registry that does 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 History MCP Server?
- Exposes Spark History Server metrics and metadata as tools for LLM-based analysis of Spark applications. It enables deep optimization of Spark jobs by providing access to job summaries, stage details, SQL execution plans, and executor performance.
- Who maintains Spark History MCP Server?
- Spark History MCP Server is maintained by ravipesala, which publishes 1 MCP server (0 total versions) tracked on MCP Toplist.
- Is Spark History MCP Server an official MCP server?
- Spark History MCP Server is not on the Official MCP Registry. It is listed on Glama.
- How many versions does Spark History MCP Server have?
- Spark History MCP Server ships as a single rolling release with no explicit version metadata.
- Where can I find the source code for Spark History MCP Server?
- The source code for Spark History MCP Server is hosted at github.com/ravipesala/spark_mcp_optimizer.