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MCP Apache Spark History Server

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作者:kubeflow

MCP Server and CLI for Apache Spark History Server. Debug Spark applications from AI agents, scripts, or the terminal.

apache-sparkbig-datadata-processingkubernetesmcpmcp-server

01 / 选择客户端

02 / 连接前的准备

认证方式尚未指定。连接前请查看项目说明。

安装项目所需的运行环境,并确保客户端能够使用它。

项目说明

输入项目说明中的变量名,用逗号分隔。只输入名称,不要输入密钥值。

03 / 添加配置

来源:根据公开安装说明生成

claude mcp add --transport stdio 'mcp-apache-spark-history-server' -- 'uvx' '--from' 'mcp-apache-spark-history-server' 'spark-mcp'

替换占位符后在终端中运行。

04 / 在客户端中确认

打开客户端的 MCP 设置,确认服务器已连接并列出工具。复制配置不代表连接成功。

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此列表根据公开信息自动生成。认领后,你可以编辑页面、设置兼容性并解锁增长工具。全程不超两分钟。

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安全概况

已认领和已认证的服务器每周接受一次静态扫描,显示代码能触及的范围(外部服务、环境变量、shell 命令、代理配置目录)以及带有已知公告的依赖。认领此列表即可获得。 安全概况的工作原理

19 个工具中显示 19 个

文档中列出的工具 (19)

内容来自项目文档。服务器握手不会验证每个工具的说明或行为。

aws_analyze_spark_workload

One-shot root cause analysis of failed/slow Spark workloads

aws_spark_code_recommendation

Code fix recommendations for identified Spark issues

compare_job_environments

Diff Spark configs between two applications

compare_job_performance

Diff performance metrics between two applications

compare_sql_executions

Compare aggregated performance metrics (stages, tasks, shuffle, spill, GC) between two SQL executions; opt-in plan-structure diff

compare_stages

Compare two stages (optionally across applications): stage metrics and per-task p25/p50/p75/max quantiles

get_environment

Spark config, JVM info, system properties, classpath; optional section filter to return a single part

get_executor_summary

Aggregate metrics across all executors

get_executor_thread_dump

JVM thread dump for a driver/executor, with state/name/blocked filters (running apps only)

get_job_bottlenecks

Identify bottlenecks across stages, tasks, and executors

get_resource_usage_timeline

Chronological executor add/remove with resource totals

get_sql_execution

SQL execution header by default; opt-in plan, node metrics, job summaries, aggregated stage metrics, and stage list

get_stage

Stage detail with attempt and task metric distributions

list_applications

List applications with optional status, date, and limit filters; pass appid for a single application's detail (status, resources, duration, attempts). Returned applications always include their attempts.

list_executors

List executors with executor-id filtering and sorting (failed-tasks/duration/gc/id)

list_jobs

List jobs with status/job-id filtering and sorting (e.g. slowest by duration)

list_sql_executions

List SQL executions as curated summaries, with status/description filters, sorting, and a default limit

list_stage_task_failures

Failed tasks of a stage with their error messages (exception/stack trace)

list_stages

List stages with status filtering and sorting (e.g. slowest by duration)

工具变更历史

比较相同配置的完整检查。只列出工具,未调用工具。此处不测量输入结构的变化。

尚无完整工具检查。