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Releases: kubeflow/mcp-apache-spark-history-server

v0.1.5

13 Jan 21:27
22208b3

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What's Changed

  • sync gh and pypi releases by @nabuskey in #114
  • update q cli doc by @nabuskey in #115
  • Make include_plan_description configurable by @zemin-piao in #118
  • Mark executorMetricsDistributions.peakMemoryMetrics.quantiles Optional by @zemin-piao in #120
  • update SECURITY.md and naming by @nabuskey in #122
  • Remove DANGEROUSLY_OMIT_AUTH=true from MCP Inspector commands in Taskfile by @JLLeitschuh in #123
  • Use --config flag everywhere by @dacort in #127
  • Bump langchain-core from 0.3.36 to 0.3.80 in /examples/integrations/langgraph by @dependabot[bot] in #128
  • fix: Correct configuration of claude-desktop integration by @wForget in #130
  • install specific version of helm by @nabuskey in #131
  • Bump mcp from 1.11.0 to 1.23.0 in /examples/integrations/strands-agents by @dependabot[bot] in #129
  • Bump langchain-core from 0.3.80 to 0.3.81 in /examples/integrations/langgraph by @dependabot[bot] in #132

New Contributors

Full Changelog: v0.1.4...v0.1.5

v0.1.0

30 Jul 00:17
b52e9e7

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🚀 MCP Apache Spark History Server v0.1.0 Release

🚀 Initial Release Highlights

We're excited to announce the first official release of the MCP Apache Spark History Server! This groundbreaking tool enables AI-powered debugging and optimization of Apache Spark jobs through natural language interactions.

🤖 AI Integration

• Claude Desktop Integration - Seamless AI-powered Spark job analysis
• Amazon Q CLI Support - Native AWS AI assistant integration
• LangGraph Example with Ollama - Local AI model integration capabilities

⚙️ Configuration & Flexibility

• Configurable MCP Server Settings - Customizable server parameters
• Environment Variable Support - .env file configuration with default values
• Configurable Listen Address & NodePort - Flexible networking options
• SSL Verification Toggle - Support for self-signed certificates

🏗️ Development & Testing

• End-to-End Testing Suite - Comprehensive test coverage
• Local Kind Cluster Support - Easy local development setup
• Taskfile Build System - Streamlined development workflow
• Pre-commit Security Guardrails - Prevents hardcoded credentials

🔗 Platform Support

• EMR Persistent UI Support - Enhanced AWS EMR integration
• Glue SHS Compatibility - AWS Glue Spark History Server support
• KIRO Integration - Complete integration instructions

📦 Distribution

• PyPI Publishing - Easy installation via pip install mcp-apache-spark-history-server
• Docker Image Builds - Automated container publishing
• Helm Chart Support - Kubernetes deployment ready

👥 Core Contributors and Maintainers

@vara-bonthu
@nabuskey
@andrewdkim47

📚 Documentation & Examples

• Comprehensive README with demo videos
• Step-by-step setup guides for multiple AI platforms
• Complete integration examples and use cases

Get Started: pip install mcp-apache-spark-history-server


What's Changed

New Contributors

Full Changelog: https://github.com/DeepDiagnostix-AI/mcp-apache-spark-history-server/commits/v0.1.0