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Profile iOS apps with natural language to analyze performance and resource issues.
This MCP tool is described as using local xctrace to profile iOS apps and does not declare any secrets or remote services, with no obvious high-risk red flags in the provided material. The main considerations are local process execution and access to local profiling/app data, while the open-source project has weak adoption and unclear maintenance.
The material explicitly states that no keys or environment variables are required, and there is no indication of API tokens, account credentials, or other sensitive authentication data; based on the provided facts, credential exposure and misuse risk appears low.
No remote host endpoints are declared and the README is absent, so there is no evidence in the provided material that the tool sends user data to third-party services; the mention of 'network requests' appears to refer to profiling targets rather than the tool's own outbound connectivity.
The system flags this tool as executes-code, and the description indicates it uses local xctrace/Instruments to profile iOS apps, which typically means launching local analysis processes and invoking developer/diagnostic system capabilities. This is consistent with the stated purpose and is a normal caution item, with no additional signs of overreach in the provided material.
To perform app performance profiling, the tool will likely need access to local iOS apps, simulator/device profiling outputs, trace files, or related diagnostic data; this aligns with its stated purpose, but the material does not define the precise data scope or read/write boundaries, so least-privilege use is advisable.
A public GitHub repository exists and the project is marked open source, which reduces auditability concerns; however, it comes from a third-party registry, has no declared license, shows 0 stars, and has unknown maintenance status, indicating weak supply-chain signals and a need for source and dependency review before use.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ios-instruments-mcp" yet — see the docs or source repo.
Use Instruments to analyze this iOS app's cold launch time, identify the main slow phases, and provide actionable optimization suggestions.
A launch-time analysis with key bottlenecks and corresponding optimization recommendations.
Use xctrace to inspect this iOS app for memory leak risks in the main user flow, and identify suspicious objects, call paths, and reproduction steps.
A report of memory leak clues, affected objects, and suggested debugging or fix directions.
Analyze CPU usage and network requests for this iOS app during a specific interaction, and find abnormal spikes, frequent requests, and likely causes.
A summary of CPU and network activity, explanations of anomalies, and optimization suggestions.
Profile iOS/macOS app performance with Xcode Instruments and automate optimization workflows.
Automate iOS Simulator app interactions for testing, demos, and AI-assisted workflows.
MCP tool for mobile app development, automation, debugging, and testing.
Capture and analyze Mac DNS traffic for domain and timing insights.
Query Perfetto traces in natural language for focused performance analysis.
Connect AI to macOS apps for email, calendar, and file workflows.