memorylens-mcp

memorylens-mcp

MCP server for .NET memory profiling with AI-actionable code fix suggestions, powered by JetBrains dotMemory

Category
Visit Server

README

<p align="center"> <img src="icon.svg" width="128" height="128" alt="MemoryLens MCP"> </p>

<h1 align="center">MemoryLens MCP</h1>

<p align="center"> <a href="https://www.nuget.org/packages/MemoryLens.Mcp"><img src="https://img.shields.io/nuget/v/MemoryLens.Mcp?style=flat-square&logo=nuget&color=blue" alt="NuGet"></a> <a href="https://www.nuget.org/packages/MemoryLens.Mcp"><img src="https://img.shields.io/nuget/dt/MemoryLens.Mcp?style=flat-square&color=green" alt="NuGet Downloads"></a> <a href="https://github.com/MarcelRoozekrans/memorylens-mcp/actions"><img src="https://img.shields.io/github/actions/workflow/status/MarcelRoozekrans/memorylens-mcp/ci.yml?branch=main&style=flat-square&logo=github" alt="Build Status"></a> <a href="https://github.com/MarcelRoozekrans/memorylens-mcp/blob/main/LICENSE"><img src="https://img.shields.io/github/license/MarcelRoozekrans/memorylens-mcp?style=flat-square" alt="License"></a> </p>

<p align="center"> On-demand .NET memory profiling with concrete, AI-actionable code fix suggestions — wraps JetBrains dotMemory with a heuristic-based rule engine. </p>

<a href="https://glama.ai/mcp/servers/MarcelRoozekrans/memorylens-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/MarcelRoozekrans/memorylens-mcp/badge" alt="memorylens-mcp MCP server" /> </a>

<!-- mcp-name: io.github.marcelroozekrans/memorylens-mcp -->


Quick Start

VS Code / Visual Studio (via dnx)

Add to your MCP settings (.vscode/mcp.json or VS settings):

{
  "servers": {
    "memorylens": {
      "type": "stdio",
      "command": "dnx",
      "args": ["MemoryLens.Mcp", "--yes"]
    }
  }
}

Claude Code Plugin

claude install gh:MarcelRoozekrans/memorylens-mcp

.NET Global Tool

dotnet tool install -g MemoryLens.Mcp

Prerequisites

Available MCP Tools

Tool Description
ensure_dotmemory Downloads and verifies the JetBrains dotMemory CLI tool is available
list_processes Lists running .NET processes available for profiling
snapshot Captures a single memory snapshot of a target process
compare_snapshots Captures two snapshots with configurable delay and compares them
analyze Runs the rule engine against a captured snapshot and returns findings
get_rules Lists all available analysis rules with their metadata

Built-in Rules

ID Severity Category Description
ML001 critical leak Event handler leak detected
ML002 critical leak Static collection growing unbounded
ML003 high leak Disposable object not disposed
ML004 high fragmentation Large Object Heap fragmentation
ML005 medium retention Object retained longer than expected
ML006 medium allocation Excessive allocations in hot path
ML007 medium retention Closure retaining unexpected references
ML008 low allocation Array/list resizing without capacity hint
ML009 low pattern Finalizer without Dispose pattern
ML010 low pattern String interning opportunity

Configuration

Create a .memorylens.json file in your project root to customize rule behavior:

{
  "rules": {
    "ML001": { "enabled": true, "severity": "critical" },
    "ML002": { "enabled": true, "severity": "critical" },
    "ML003": { "enabled": true, "severity": "high" },
    "ML004": { "enabled": true, "severity": "high" },
    "ML005": { "enabled": true, "severity": "medium" },
    "ML006": { "enabled": true, "severity": "medium" },
    "ML007": { "enabled": true, "severity": "medium" },
    "ML008": { "enabled": true, "severity": "low" },
    "ML009": { "enabled": true, "severity": "low" },
    "ML010": { "enabled": true, "severity": "low" }
  }
}

Usage Examples

Single Snapshot

Capture a memory snapshot of a running process to inspect current memory state:

> /memorylens
> Take a snapshot of my running API (PID 12345)

Claude will call ensure_dotmemory, then snapshot with the target PID, then analyze the result and present findings ordered by severity.

Before/After Comparison

Detect memory growth by comparing two snapshots taken with a delay:

> /memorylens
> Check if my app has a memory leak — compare before and after processing 1000 requests

Claude will call compare_snapshots with a configurable wait period, then analyze the diff to identify objects that grew between snapshots.

License

MIT

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