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SegfaultSorcerer/heap-seance

by Various

MCP server that channels JVM forensics into structured leak verdicts — for Claude Code.

S

MCP

SegfaultSorcerer/heap-seance

Added 1 June 2026

Overview

A Model Context Protocol server that analyzes JVM heap dumps and returns structured leak verdicts. It integrates with Claude Code to provide forensic memory analysis directly in the development workflow.

Best for

Best for
Java developers using Claude Code who need automated heap dump analysis

Use cases

  • Diagnose memory leaks from JVM heap dumps during development
  • Integrate heap analysis into Claude Code-assisted debugging sessions
  • Automate heap dump forensics in CI/CD pipelines

How to use

Install

pip install -e .

Tools exposed

  • JAVA_HOME
  • MAT_BIN
  • ASYNC_PROFILER_BIN
  • HEAP_SEANCE_ARTIFACT_DIR
  • MCP_TRANSPORT
  • MCP_HOST
  • MCP_PORT

Tested with

Claude Code

Notes

A Model Context Protocol server that analyzes JVM heap dumps and returns structured leak verdicts. It integrates with Claude Code to provide forensic memory analysis directly in the development workflow.

3 stars on GitHub. Last updated 2026-03-15. Licensed Apache-2.0.

Use cases

  • Diagnose memory leaks from JVM heap dumps during development
  • Integrate heap analysis into Claude Code-assisted debugging sessions
  • Automate heap dump forensics in CI/CD pipelines

Pros

  • Provides structured, actionable leak verdicts rather than raw dump data
  • Works seamlessly with Claude Code for interactive debugging
  • Python-based, easy to extend or modify

Cons

  • Limited to JVM heap dumps, not applicable to other runtimes
  • Requires Claude Code as the frontend, reducing standalone utility
  • Low community adoption (3 GitHub stars) may mean limited support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Provides structured, actionable leak verdicts rather than raw dump data
  • Works seamlessly with Claude Code for interactive debugging
  • Python-based, easy to extend or modify

Cons

  • Limited to JVM heap dumps, not applicable to other runtimes
  • Requires Claude Code as the frontend, reducing standalone utility
  • Low community adoption (3 GitHub stars) may mean limited support

Pairs with

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