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
382,940 tools. Last updated 2026-08-03 07:08
"Optimizing and Improving Flutter Application Performance" matching MCP tools:
- 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
- Creates a new Real User Monitoring (RUM) application for platforms including browser, iOS, Android, React Native, and Flutter.MIT
- Retrieve application logs by UUID to debug errors, monitor performance, and troubleshoot deployment issues in Coolify applications.MIT
- Execute Flutter tests and generate coverage reports to verify mobile application functionality and code quality.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.Last updated873MIT
- Flicense-qualityBmaintenanceProvides 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.Last updated
Matching MCP Connectors
performance-review MCP — wraps StupidAPIs (requires X-API-Key)
Compile a JSON product spec into an Android APK. Paid per build via x402 (USDC on Base).
- Analyze a decompiled APK workspace to identify optimal injection hooks for Flutter runtime initialization, covering Application class, entry Activity, JNI loading sites, Flutter classes, native ABIs, and Smali patch points.
- Add Flutter runtime requirements to decoded AndroidManifest.xml: insert INTERNET/WAKE_LOCK permissions, override Application class, add FlutterActivity entry with engine metadata, and validate the patched result.
- 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
- Run a Lighthouse performance audit on any URL to get scores and metrics for accessibility, best practices, performance, PWA, and SEO. Filter by category or set performance budgets.Server Side Public , v 1
- Get a curated implementation bundle for any CometChat integration scenario with prerequisites, install commands, configuration, code examples, and common pitfalls. Covers React, Flutter, iOS, Android, React Native, and JS SDK.Apache 2.0
- 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 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
- Retrieve detailed status of a Spark application, including state, timestamps, and configuration.Apache 2.0
- Compare a trader's 30-day performance to all-time results: PnL, trade count, win rate, and trend direction to determine if they are improving or cooling off.MIT
- Retrieve expert guidance and rules to optimize LLM inference on your hardware. Use this to understand how to interpret performance analysis results.Apache 2.0
- Create a job application by linking an existing candidate to a job, enabling sourcing workflows and manual application ingestion.MIT