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MarcelRoozekrans/memorylens-mcp

by Various

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

M

MCP

MarcelRoozekrans/memorylens-mcp

Added 1 June 2026

Overview

An MCP server that integrates JetBrains dotMemory profiling with AI assistants to analyze .NET memory usage and suggest code fixes. It exposes memory profiling data through the Model Context Protocol, enabling AI tools to provide actionable recommendations for memory leaks and optimization.

Best for

Best for
Developers using AI coding assistants who need automated .NET memory leak detection and fix suggestions

Use cases

  • Debug memory leaks in .NET applications via AI-assisted analysis
  • Optimize memory usage by receiving code fix suggestions from profiling data
  • Integrate .NET memory profiling into AI-powered development workflows

Notes

An MCP server that integrates JetBrains dotMemory profiling with AI assistants to analyze .NET memory usage and suggest code fixes. It exposes memory profiling data through the Model Context Protocol, enabling AI tools to provide actionable recommendations for memory leaks and optimization.

3 stars on GitHub. Last updated 2026-05-28. Licensed MIT.

Use cases

  • Debug memory leaks in .NET applications via AI-assisted analysis
  • Optimize memory usage by receiving code fix suggestions from profiling data
  • Integrate .NET memory profiling into AI-powered development workflows

Pros

  • Leverages JetBrains dotMemory for reliable profiling data
  • Provides AI-actionable code fix suggestions directly from memory analysis
  • Open-source and extensible via the MCP protocol

Cons

  • Requires a commercial JetBrains dotMemory license
  • Low community adoption (3 stars) and limited documentation
  • Dependent on MCP-compatible AI assistants for full functionality

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

Pros

  • Leverages JetBrains dotMemory for reliable profiling data
  • Provides AI-actionable code fix suggestions directly from memory analysis
  • Open-source and extensible via the MCP protocol

Cons

  • Requires a commercial JetBrains dotMemory license
  • Low community adoption (3 stars) and limited documentation
  • Dependent on MCP-compatible AI assistants for full functionality