pulsemcp scanned Safe content atomic mcp-remote

Memory Detective

Memory Detective is an MCP server for diagnosing iOS memory leaks and performance issues in AI-assisted development workflows. It analyzes .memgraph and .trace files captured by Xcode, classifying leaks against 34 known antipatterns across SwiftUI, Combine, Concurrency, and UIKit. Provides fix suggestions with Swift code templates, before/after snapshot comparison to verify fixes, and SourceKit-LSP bridging for precise file and line locations. Converts 50–500 MB binary memgraphs into 2–5 KB structured summaries for efficient AI reasoning.

Cognium trust score

63%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: maps-location
Source: PulseMCP
Repository: github.com/carloshpdoc/memorydetective
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve Memory Detective from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"