Reduce vertices in LineString or Polygon geometry to simplify shapes and decrease file size without losing essential form. Ideal for improving map rendering performance.
MIT
522,260 tools. Updated 2026-09-06 12:44
"Optimizing and Improving Flutter Application Performance" matching MCP tools:
- Compare a trader's 30-day and all-time performance metrics, including PnL, trade count, win rate, and trend direction, to determine whether they are improving or cooling off.MIT
- Retrieve aggregate performance metrics and system-wide statistics to monitor application health, trends, and high-level performance.MIT
- Identify performance issues in Flutter apps by enabling widget rebuild tracking to detect unnecessary rendering, connected via the default debug port or a custom port.MIT
- Retrieve performance metrics for an application by name. Specify the look-back period in hours to analyze recent performance data.MIT
- Creates a new Real User Monitoring (RUM) application for platforms including browser, iOS, Android, React Native, and Flutter.MIT
Matching MCP Servers
- AlicenseAqualityFmaintenanceA real-time server that provides Flutter/Dart documentation and pub.dev package information to AI assistants, ensuring they generate accurate and up-to-date Flutter code.873MIT
- FlicenseBqualityBmaintenanceProvides Flutter and Dart reference data, code generation, live API lookups, and a verified sample corpus for AI coding assistants, enabling efficient Flutter development with accurate guidance and boilerplate generation.14-
Matching MCP Connectors
performance-review MCP — wraps StupidAPIs (requires X-API-Key)
Generate a Flutter app from a JSON spec free; pay only for the compiled APK (USDC on Base).
- Retrieve application logs by UUID to debug errors, monitor performance, and troubleshoot deployment issues in Coolify applications.MIT
- Identify root causes of application issues, including incidents and performance degradation, using AI-powered analysis.MIT
- Audits Flutter and Dart source code to identify performance bottlenecks, missing const constructors, controller memory leaks, and architectural violations.MIT
- Execute Flutter tests and generate coverage reports to verify mobile application functionality and code quality.MIT
- Retrieve performance metrics for a specific application over a configurable time window to assess health and troubleshoot issues.MIT
- Implement a feature in a Flutter mobile application by providing a ticket description that defines the required functionality and guides the development workflow.MIT
- Retrieve real-time XR performance metrics such as frame rate, GPU/CPU usage, thermal state, and memory usage to identify performance issues and optimize mobile XR experiences.MIT
- Retrieve APM performance metrics including response time, throughput, error rate, and Apdex to monitor and troubleshoot application health.-
- Analyze Python code to generate specific suggestions for improving quality, security, performance, and maintainability.-
- Display Flutter rendering performance overlay to analyze UI frame rates, identify rendering bottlenecks, and optimize app performance during development.MIT
- Retrieve Flutter-specific logs from Android devices to debug Flutter applications during development and testing workflows.MIT
- Retrieve all background jobs for an application along with aggregated performance metrics to identify high throughput, latency, or error rate jobs within a specified time range.MIT
- Terminate a running Spark application and remove it from the engine's history using engine and application IDs.Apache 2.0
- Retrieve comprehensive task-level execution metrics across all workflows to gain insights into performance, application usage, and statistics for automation monitoring and optimization.GPL 3.0
- Retrieve performance insights for your application, including N+1 queries, memory bloat, and slow queries. Optionally filter by insight type and set a limit on results.MIT