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Memorydetective: MCP server, setup and security

Memorydetective is an open-source MCP server that lets an AI agent investigate iOS memory leaks and suggest Swift retain cycle fixes. Its repository has 14 stars and its last commit is from May 25, 2026 and it is licensed under Apache-2.0.

Last commit 5 months ago

What Memorydetective does

According to its repository: “iOS memory leak and performance investigation: reads .memgraph and .trace files, classifies retain cycles against known patterns and suggests Swift fixes.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Memorydetective is listed under Developer tools, a category of 475 servers in the directory, where it ranks #351 by stars.

Topics declared by the repository: claude-code, combine, instruments, ios, memgraph, memory-leak.

Installing and connecting Memorydetective

Distribution modes declared in the official MCP registry:

  • npm package (Node.js, usually started with npx)

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript. Listed systems: macOS.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Memorydetective. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on May 1, 2026, the carloshpdoc/memorydetective repository has 14 stars and 0 forks, with 1 open issues. It has more stars than 32% of the servers in the directory. Last change 5 months ago. Version published in the registry: 1.18.1 (May 18, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

StorybookStorybook : 91.4K91.4KFront End ChecklistFront End Checklist : 74.6K74.6KTldrawTldraw : 51.1K51.1KCodebase MemoryCodebase Memory : 47.4K47.4KCCXTCCXT : 44.5K44.5KPostHog MCP ServerPostHog MCP Server : 40.4K40.4KClaude task masterClaude task master : 28.3K28.3KAgent Skills Search ServerAgent Skills Search Server : 26.6K26.6KMemorydetectiveMemorydetective : 1414
GitHub stars of the most followed servers in the category (log scale); Memorydetective in orange. Checked October 25, 2026.

Verdict

Memorydetective is still a modest project: read its code and compare it with the alternatives before using it.

Strengths

  • Listed in the official MCP registry
  • Permissive licence (Apache-2.0)

Frequently asked questions

How do I install Memorydetective?

Memorydetective is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of carloshpdoc/memorydetective.

Is Memorydetective free?

The code is published under the Apache-2.0 licence and can be used free of charge.

Is Memorydetective safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by carloshpdoc on GitHub. Check who maintains it before giving it access.

What are the alternatives to Memorydetective?

In the same category: Radar Kubernetes MCP Server, Repowise, Jscpd, and Apify MCP server. Radar Kubernetes MCP Server and Repowise score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score