mcp-mat

mcp-mat

Headless MCP server for Eclipse MAT that enables analyzing Java heap dumps using built-in commands, OQL queries, and predefined reports.

Category
Visit Server

README

mcp-mat

Headless MCP server for Eclipse MAT using direct java -jar org.eclipse.equinox.launcher_*.jar execution.

Features

  • mat_healthcheck — Validate MAT launcher and Java runtime availability
  • mat_parse_report — Run predefined MAT reports (leak suspects, system overview, etc.)
  • mat_oql_query — Execute OQL queries and return inline results
  • mat_run_command — Execute 56 built-in MAT analysis commands (histogram, dominator_tree, path2gc, thread_overview, etc.)
  • mat_index_status — Check whether MAT index artifacts exist for a heap dump
  • mat_oql_spec — Return OQL parser guidance and supported patterns

Supported Commands (mat_run_command)

Dominator tree analysis

dominator_tree, show_dominator_tree, immediate_dominators, big_drops_in_dominator_tree

Path to GC roots

path2gc, merge_shortest_paths, gc_roots

Histogram & object listing

histogram, delta_histogram*, list_objects, group_by_value, duplicate_classes

Leak detection

leakhunter, leakhunter2, find_leaks, find_leaks2, reference_leak

Thread analysis

thread_overview, thread_details, thread_stack

Collection analysis

collection_fill_ratio, collections_grouped_by_size, array_fill_ratio, arrays_grouped_by_size, hash_entries, map_collision_ratio, extract_list_values, hash_set_values, primitive_arrays_with_a_constant_value

Reference analysis

references_statistics, weak_references_statistics, soft_references_statistics, phantom_references_statistics, finalizer_references_statistics

Finalizer analysis

finalizer_overview, finalizer_thread, finalizer_queue, finalizer_in_processing, finalizer_thread_locals

Retained set

show_retained_set, customized_retained_set

Component & top consumers

component_report, component_report_top, top_consumers, top_consumers_html, pie_biggest_objects

String & memory waste

find_strings, waste_in_char_arrays

Heap info & misc

heap_dump_overview, unreachable_objects, system_properties, class_references, comparison_report*

Eclipse/OSGi specific

bundle_registry, leaking_bundles

Export

export_hprof

* Requires a baseline heap dump (second .hprof file).

OQL mode notes

  • This server normalizes client OQL input and wraps it for MAT parse-app command mode.
  • You can send OQL with or without outer quotes.
  • For class ranking and top consumers, prefer mat_parse_report with org.eclipse.mat.api:overview and parse Class_Histogram*.txt.
  • For object inspection, use simple field-level OQL patterns (INSTANCEOF, OBJECTS 0x...).

Environment

All environment variables are optional:

  • MAT_HOME
  • MAT_LAUNCHER
  • JAVA_PATH (default java)
  • MAT_XMX_MB (default 4096)
  • MAT_TIMEOUT_SEC (default 1800)
  • MAT_CONFIG_DIR (default /tmp/mat-config)
  • MAT_DATA_DIR (default /tmp/mat-workspace)
  • MAT_DEBUG (default false)
  • MAT_DEBUG_LOG_DIR (default /tmp/mcp-mat-logs)
  • MAT_PRIVACY_MODE (default false)
  • MAT_OQL_MAX_BYTES (default 16384)
  • MAT_RESULT_PREVIEW_LINES (default 20)
  • MAT_STDIO_TAIL_CHARS (default 4000)

Run

npm install
npm run build
MAT_HOME=/path/to/mat node dist/src/server.js

Test

npm test

Install via npx

No build step required. Install directly from npm:

Claude Code

Add to ~/.claude/settings.json or project .claude/settings.json:

{
  "mcpServers": {
    "mat": {
      "command": "npx",
      "args": ["-y", "mcp-mat"],
      "env": {
        "MAT_HOME": "/Applications/MemoryAnalyzer.app/Contents/Eclipse"
      }
    }
  }
}

Codex

codex mcp add \
  --env MAT_HOME=/Applications/MemoryAnalyzer.app/Contents/Eclipse \
  mat \
  npx -y mcp-mat

Install in Claude Code (from source)

Add the MCP server to Claude Code settings (~/.claude/settings.json or project .claude/settings.json):

{
  "mcpServers": {
    "mat": {
      "command": "node",
      "args": ["/path/to/mcp-mat/dist/src/server.js"],
      "env": {
        "MAT_HOME": "/Applications/MemoryAnalyzer.app/Contents/Eclipse"
      }
    }
  }
}

Install in Codex (from source)

Build first:

cd /path/to/mcp-mat
npm install
npm run build

Add MCP server to Codex:

codex mcp add \
  --env MAT_HOME=/Applications/MemoryAnalyzer.app/Contents/Eclipse \
  mat \
  node /path/to/mcp-mat/dist/src/server.js

Verify:

codex mcp list
codex mcp get mat --json

If you need to update the entry:

codex mcp remove mat
# then run codex mcp add ... again

Equivalent ~/.codex/config.toml entry:

[mcp_servers.mat]
command = "node"
args = ["/path/to/mcp-mat/dist/src/server.js"]

[mcp_servers.mat.env]
MAT_HOME = "/Applications/MemoryAnalyzer.app/Contents/Eclipse"

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured