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Description
Summary
This is a feature request to integrate the Model Context Protocol (MCP) into Eclipse Memory Analyzer (MAT). MCP would enable AI assistants (like Claude, ChatGPT, etc.) to interact directly with MAT for automated memory analysis, leak detection, and report generation through standardized tool calls.
Motivation
As memory analysis becomes increasingly complex, integrating AI capabilities could significantly enhance the productivity of developers and performance engineers. MCP would allow:
- Automated Analysis Pipeline: AI assistants could perform end-to-end memory analysis workflows
- Intelligent Insights: AI could correlate memory patterns with application code and provide actionable recommendations
- Natural Language Queries: Developers could ask questions about heap dumps in plain English
- Integration with Development Workflows: AI could automatically analyze heap dumps as part of CI/CD pipelines
Proposed Implementation
Core MCP Tools
The following MCP tools could be implemented:
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parse_heap_dump- Input: Path to heap dump file
- Output: Basic statistics and parse status
- Parameters: Optional filters, parsing preferences
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run_leak_detection- Input: Parsed heap dump reference
- Output: Leak suspects, potential memory issues
- Parameters: Analysis depth, report format
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query_objects- Input: OQL query or natural language description
- Output: Query results in structured format
- Parameters: Query type, result limit
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analyze_memory_patterns- Input: Specific classes, packages, or patterns
- Output: Memory usage statistics, retention analysis
- Parameters: Analysis scope, comparison baseline
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generate_report- Input: Analysis results, report template
- Output: HTML/JSON report
- Parameters: Report type, sections to include
kgibm and mld-njupt
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