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.
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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.
Yes, Spark History MCP Server is completely free to use with no usage limits on the free tier.
Spark History MCP Server is listed under the database category in the AgentForge MCP registry.
Spark History MCP Server has a current uptime of 99.9% with an average response time of 0ms.
To connect Spark History MCP Server, click the "Connect Agent" button on this page to get the configuration snippet. Add it to your MCP client (Claude Desktop, Cursor, or any MCP-compatible tool). Your AI agent will then have access to all of Spark History MCP Server's tools via the Model Context Protocol.