GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
제작자가 쓴 설명(영어 원문)
iOS leak/perf debugging via MCP: memgraph cycles, .trace analysis, SourceKit-LSP bridging.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"memorydetective": {
"command": "npx",
"args": [
"-y",
"memorydetective"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add memorydetective -- npx -y memorydetective프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"memorydetective": {
"command": "npx",
"args": [
"-y",
"memorydetective"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"memorydetective": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"memorydetective"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 carloshpdoc 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.18.1)은 6개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
English · Português brasileiro
Diagnose iOS retain cycles and performance regressions from your chat window. No Xcode required.
.memgraph files captured by Xcode (or by memorydetective itself on simulators), find ROOT CYCLEs, classify them against known SwiftUI/Combine patterns, and get a one-liner fix hint. All from a script or a chat.xctrace; sample-level Time Profile is parsed when xctrace symbolicates the trace and returns a structured workaround notice when it can't (the underlying xctrace SIGSEGV on heavy unsymbolicated traces is an Apple-side limitation we surface explicitly). Memory Graph capture works on Mac apps and iOS simulator; physical iOS devices still need Xcode.What's new in v1.18 (2026-05-17): MetricKit + audit-close. `analyzeMetricKitPayload` is the 42nd MCP tool: ingests Apple MetricKit
.mxdiagnosticJSON payloads from real-device TestFlight / App Store builds (post-mortem production diagnostics, no MCP competitor covers this lane today). Three actionable outputs: crash clusters by exception type / binary / top frame, hang hotspots with localized-duration parsing ("5.4 sec"/"20秒"), CPU + disk exceptions. Cross-tool chain hints (e.g.objc_release-style top frame surfaces afindCyclessuggestion). Plus three audit-close items: open-enumSupportStatusKind(downstream consumers add kinds without a breaking type bump), invocation-scopedschemaDiscoverycache (summarizeTraceend-to-end shaved from ~28s to ~15s on real Apple traces via single up-front TOC fetch), and local-only integration tests against real Apple.tracebundles (closes the v1.14 P+O drift class for good). 701 → 757 tests. 41 → 42 MCP tools.
Also recent (v1.17): reliability pass. 14 bug fixes across three tiers. Headlines: strtobool env truthy parsing,
verifyFixwhitelist match modes (exact / substring / regex),recordViaInstrumentsAppcatches traces saved outsidewatchDir,inspectTracefault-tolerant fallback, configurablecountAliveframework-noise filter, variable-size class min/max/median.
And v1.16: macOS 26.x recording-unblock release. New
recordViaInstrumentsAppMCP tool wraps the Instruments.app GUI flow: opens the app, surfaces step-by-step instructions, watches a directory for the saved.trace, and chains intoinspectTraceon success. Until Apple fixes thexcrun xctrace recordregression on macOS 26.x sims, this is the automated path.
And v1.15: schema coverage + verify-fix UX. Three new MCP trace tools filled the remaining schema gap:
analyzeMemoryFootprint(38th, VM resident / dirty / virtual + jetsam diagnosis),analyzeEnergyImpact(39th, battery drain investigation),analyzeLeakTimeline(40th, xctrace's leaks instrument as a time series).summarizeTracenow chainsanalyzeNetworkActivity.replayScenariocaptures simulator screenshots per step.
Earlier: v1.14 trace-side reliability,
analyzeNetworkActivity, unifiedsupportStatus[], FLEX-inspiredcountAlivesize view, MLeaksFinder + DebugSwift-inspiredverifyFixwhitelist. v1.13 shippedsummarizeTrace+/summarize-traceMCP prompt. v1.12 completed reference-tree propagation. v1.11 added inspectTrace, diffMemgraphs reference-tree. v1.9 shipped analyzeAbandonedMemory, detectLeaksInXCTest, cleanupTraces, mainThreadViolations. Full notes in CHANGELOG.
Heads up for macOS 26.x users: Apple shipped a
task_for_pidkernel regression on macOS 26.x that blocksleaks --outputGraph,heap, ANDxctrace --template Allocationsagainst iOS simulator processes regardless ofMallocStackLogging. Even Xcode's "View Memory Graph Hierarchy" hits it unlessMalloc Stack Loggingis enabled in the scheme's Diagnostics tab. memorydetective surfaces this as a proactiveplatformAdvisoryon the first capture-class tool call, plus aworkaroundNoticewithissue: "macos-26-task-for-pid-broken"ifleaksis invoked. The most reliable workaround today is to target an iOS 18 simulator runtime (install via Xcode > Settings > Platforms > +iOS 18.x). Empirically validated in the notelet investigation 2026-05-12 where three independent CLI memory-introspection paths all failed before iOS 18 was identified as the working escape hatch. SetMEMORYDETECTIVE_SUPPRESS_PLATFORM_ADVISORY=1to silence the notice once you have settled on a workaround.
Also on macOS 26.x: `xctrace record` is broken for simulator targets. Independent from the
task_for_pidregression above,xcrun xctrace record --time-limit Nsagainst iOS simulator processes wedges past the time limit, eventually exits when killed, and the resulting.tracebundle is missing template metadata.xctrace export --tocthen fails withDocument Missing Template Error. Re-validated against Xcode 26.5 (build 17F42, xctrace 16.0) 2026-05-15: regression survives the update. This hits the entirexctrace-based ecosystem the same way (memorydetective.recordTimeProfile, XcodeTraceMCP, and nakedxcrun xctrace recordcalls all fail identically). Workarounds: (1) use `recordViaInstrumentsApp` (v1.16, hardened in v1.17), which opens Instruments.app for you, prompts you to record + save the.trace, then chains intoinspectTraceautomatically once the bundle appears. v1.17 also catches saves outside the watch directory via an Instruments.app AppleScript document query, returningsavedOutsideWatchDir: trueplus the actual path; (2) record from an older macOS host with Xcode 26.0 if you have one; (3) record against a physical device (the regression appears to be simulator-specific). v1.17 added a viability probe onrecordTimeProfile(bundleStatus: "wedged"when the on-disk bundle is the 52K stub) and oninspectTrace(returnsok: truewith diagnosis text instead of throwing). USAGE.md > Troubleshooting has a step-by-step.
npm install -g memorydetective
Add to your MCP client config (Claude Code shown):
// ~/.claude/settings.json
{ "mcpServers": { "memorydetective": { "command": "memorydetective" } } }
Or use it directly from the command line:
memorydetective analyze ~/Desktop/myapp.memgraph
memorydetective classify ~/Desktop/myapp.memgraph
→ See Examples for chat-driven flows · API for the full tool reference · Configure for Claude Desktop / Cursor / Cline · USAGE.md for the full walkthrough including how fixes flow from diagnosis to your codebase.
Realistic chat snippets. The agent calls the MCP tools listed in API.
You: I just exported a memory graph at
~/Desktop/example.memgraph. Something's leaking after I close a detail screen. What is it?
Claude: *(calls
analyzeMemgraph→classifyCycle)*
Found 4 ROOT CYCLE blocks across 60,436 leaks. The dominant one matches swiftui.tag-index-projection with high confidence. A closure attached via
.tag()on a photo carouselForEachis capturingselfstrongly through_viewModel.wrappedValue, which keepsDetailViewModeland the navigation coordinator alive after dismissal.
Suggested fix: replace
[weak self]capture in the tap handler with a static helper, or weak-capture the view-model via[weak coord = self.coordinator]. Want me to find the exact file?
You: I shipped the fix. Compare
~/Desktop/before.memgraphto~/Desktop/after.memgraphand tell me whetherDetailViewModelcount dropped.
Claude: *(calls
diffMemgraphs→countAlive)*
DetailViewModel: 12 → 0 (delta-12). Theswiftui.tag-index-projectioncycle is gone. Total leak count fell from 60,436 to 55,576 (−4,860). Three other ROOT CYCLEs persist. They're SwiftUI internals, not your code.
When leaks --outputGraph fails on macOS 26.x (Failed to get DYLD info for task), the cause is usually that the app was not launched with MallocStackLogging=1. The new orchestration tools handle this end to end without you wiring up xcodebuild + simctl + axe yourself.
You: Reproduce the leak in
MyAppfor me. Build, launch with the right env vars, repeat the photo carousel flow 5 times to amplify it, capture before, then I'll ship the fix and you capture after.
Claude: *(calls
bootAndLaunchForLeakInvestigation)*
Built + booted iPhone 15 (UDID
ABCD-...). LaunchedMyApp(PID49581) withMallocStackLogging=1. Bundle idcom.example.MyApp.
*(calls
replayScenariowith 5 taps on the carousel + back-button cycle, repeat 5)*
Executed 25 actions in 12.3s. No failures.
*(calls
captureScenarioState({label:"before"}))*
Wrote
before.memgraph(63,201 leaks),before.png,before.ui.json.MallocStackLoggingactive, no workaroundNotice.
*(you ship the fix and rebuild)*
*(calls
bootAndLaunchForLeakInvestigation+ replay +captureScenarioState({label:"after"}))*
*(calls
diffMemgraphs→verifyFix)*
DetailViewModel: 15 → 0.swiftui.tag-index-projectionPASS. Bytes freed: 28.4 MB.
You: Profile DemoApp on my iPhone for 90 seconds and tell me where the hangs are.
Claude: *(calls
listTraceDevices→recordTimeProfile→analyzeHangs)*
Recorded
~/Desktop/run.trace(90s, attached to DemoApp on iPhone 17 Pro Max). Found 23 user-visible hangs (>500 ms each), longest 1.16 s, average 769 ms. Severe load. All on the main thread. Sample-level hotspots aren't symbolicated yet; open the trace in Instruments for that step (analyzeTimeProfilereturns a structured workaround notice whenxctracecan't symbolicate. See CHANGELOG known limits).
You: I have a folder of
.mxdiagnosticfiles from the last 30 days of TestFlight at~/Downloads/metrickit-may/. What's catching real users?
Claude: *(calls
analyzeMetricKitPayload({ payloadDir: "~/Downloads/metrickit-may/" }))*
47 payloads, 2026-04-15 → 2026-05-15. Top: 18 crashes EXC_BAD_ACCESS clustered on the same top frame, all in builds 456 and 457 (clean on 458 + earlier). Pattern matches retain-cycle release; chain hint surfaces
findCyclesnext.
Second: 5.4s hang on
libsqlite3.dylib(3 samples). Patterndb-lock. If you reproduce locally, chain intoanalyzeHangswithincludeStackClassification: truefor themainThreadViolations[]classifier.
No symbolicated frames in v1.18 (raw
binaryUUID + offsetshipped; dSYM lookup is a separate tool, future release). Localized hang strings handled: input was"5.4 sec", normalized to 5400ms; one diagnostic carrie
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요