"Troubleshooting Frontend Webpage Errors" matching MCP servers:

Enables AI agents to analyze and scaffold React/Next.js applications enforcing Feature-Sliced Design (FSD) conventions, providing tools for project analysis, rule retrieval, and entity generation.

Provides Mermaid code validation and iterative line-level repair to fix syntax errors in LLM-generated Mermaid diagrams, ensuring consistency with the frontend parser.

An MCP server that builds a local webpage to view AI plans, reports, and diagrams, so the AI only needs to send a URL pointer instead of long text. It provides three tools (view_plan, view_report, view_diagram) and tracks project changes for diff viewing.

An MCP server designed for React Native and Expo development that provides specialized tools for project scaffolding, architectural best practices, and troubleshooting. It enables AI assistants to guide users through setup, navigation configuration, and CI/CD processes using modern stacks like NativeWind and Zustand.

An MCP server that analyzes and traces business code flows across your codebase, enabling developers to quickly understand the complete execution path of features from frontend to backend to database.

Enables AI agents to interact with Figma to create, read, and manage designs using the Figma REST API and a dedicated plugin. It supports advanced features like UI generation from text, webpage reconstruction in Figma, and design token synchronization with codebases.

Enables AI agents to automate multiphysics simulations in COMSOL Multiphysics, covering model management, geometry building, physics configuration, and results visualization. It supports complex simulation workflows through the MCP protocol and includes integrated knowledge retrieval for documentation and troubleshooting.

An MCP server that allows LLMs to create, configure, validate, and explain Cisco Packet Tracer network topologies. It provides a comprehensive suite of tools for generating deployment scripts, CLI configurations, and automated network troubleshooting.

Local-first cross-service code intelligence engine for AI agents, connecting frontend, gateways, backend services, and databases to enable impact analysis and change planning.

Cross-stack MCP server that scans frontend and backend code together, detects mismatches like phantom calls, dead endpoints, and field drift, and provides a full-stack health audit.