# io.github.MarcelRoozekrans/memorylens-mcp

> Use this tool when you need to analyze and optimize .NET application memory usage, as it provides a server for memory profiling with integration to JetBrains dotMemory, accepting application memory data as input and outputting detailed profiling reports to identify memory leaks and bottlenecks. It solves problems related to memory-related performance issues and debugging, enabling developers to efficiently diagnose and resolve memory-related problems. Ideal for use during application development, testing, and performance optimization phases.

Canonical page: https://skillsregistry.net/skills/io-github-marcelroozekrans-memorylens-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-marcelroozekrans-memorylens-mcp

## Description

MCP server for .NET memory profiling with JetBrains dotMemory integration

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.3.4
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.MarcelRoozekrans%2Fmemorylens-mcp)
- **Repository:** <https://github.com/MarcelRoozekrans/memorylens-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-marcelroozekrans-memorylens-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-marcelroozekrans-memorylens-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-marcelroozekrans-memorylens-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
