MarcelRoozekrans/memorylens-mcp
by Various
MCP server for .NET memory profiling with AI-actionable code fix suggestions, powered by JetBrains dotMemory
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
How to use
Tools exposed
ensure_dotmemorylist_processessnapshotcompare_snapshotsanalyzeget_rules
Tested with
VS Code, Visual Studio, Claude Code Plugin
Example client config
{\n "servers": {\n "memorylens": {\n "type": "stdio",\n "command": "dnx",\n "args": ["MemoryLens.Mcp", "--yes"]\n }\n }\n} 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
Pairs with
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