memorylens-mcp
MCP server for .NET memory profiling with AI-actionable code fix suggestions, powered by JetBrains dotMemory
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
- .NET 10 SDK or later
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
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