"Evaluating an Expo Go App and Associated React Native Code in an Android Emulator" matching MCP servers:

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.

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 React design and rendering patterns from patterns.dev as MCP tools and resources for Claude Code.

Enables a coding agent to inspect Go HTTP endpoints and their MySQL table interactions, view SQL/source evidence, and collaboratively create or update diagram tabs on a shared browser canvas via MCP.

Turns raw diagram source text into an interactive SVG rendered directly inline in Claude Desktop conversations, with pan, zoom, fit-to-width, copy-source and fullscreen controls instead of a static code block. It runs as a standalone local stdio server available to every conversation, so any diagram definition can be viewed and explored without leaving the chat.

MCP server that streams hand-drawn Excalidraw diagrams with smooth viewport camera control and interactive fullscreen editing.

Renders Mermaid diagrams in an interactive viewer with pan, zoom, and split-view source editing, enabling LLM hosts to create and edit diagrams through natural language and synchronize updates back to the conversation.

Enables querying cross-repo code dependencies, HTTP routes, database tables, and queues via an MCP server using Cypher queries.

MCP server for comprehensive code analysis, navigation, and quality assessment across 25+ programming languages.

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.

A local MCP server that indexes codebases into Neo4j and provides tools for code analysis, dependency visualization, and impact assessment.

Streams hand-drawn Excalidraw diagrams with smooth viewport camera control and interactive fullscreen editing, enabling diagram creation via natural language.

Enables agents to generate a JSON sitemap of how a path through a TypeScript/JavaScript codebase runs, capturing the summary, areas, every step with its file, lines, description, calls and data, and the links between services. The resulting document can be opened in a viewer that draws the same map as a single page, and rebuilt in CI to keep system documentation current.

Provides a standalone MCP server for tldraw diagrams, enabling clients to create, edit, and persist multiple canvases over Streamable HTTP with semantic protocol v2.

This MCP server enables AI models to analyze local Python codebases using abstract syntax trees, providing tools for file structure analysis, symbol search, import graphing, docstring auditing, and refactoring prompts without loading entire source files into context.

Enables coding agents to audit source files against configurable line-count thresholds and generate modular split blueprints for oversized TypeScript, JavaScript, and Python files without destructive code changes.

A Model Context Protocol server for deep codebase understanding of Python projects, focusing on data analysis and scientific computing. It provides architectural analysis, pattern detection, dependency mapping, test coverage analysis, and AI-optimized context generation.

Enables AI assistants to deeply analyze and visualize React and React Native codebases locally through 36 free MCP tools for component trees, complexity scoring, navigation, data flow, health audits, and interactive tracing.

A design orchestrator that brings Superdesign capabilities to Claude Code as native tools, enabling AI-powered UI design, wireframing, component creation, and logo/icon generation without requiring Anthropic API keys.

Enables users to create, validate, view, and export system stock-and-flow maps from a versioned JSON model through MCP-capable hosts over local stdio or hosted Streamable HTTP. Supports causal-loop and nested-level mapping while keeping submitted model content with the caller and requiring no LLM provider key.

Enables AI assistants to generate interactive Excalidraw diagrams with viewport camera control and fullscreen editing directly in the chat.

Enables users to create and interact with hand-drawn Excalidraw diagrams featuring smooth viewport camera control and interactive fullscreen editing. It uses the MCP Apps extension to render collaborative virtual whiteboards directly within supported AI chat interfaces.

An MCP server that generates and manages nifdi diagrams as SVG files, bundled with skills that teach models in depth, placement grammar, and build workflow through natural language.

Enables streaming hand-drawn Excalidraw diagrams with smooth viewport camera control and interactive fullscreen editing.

Enables AI agents and reviewers to query a deterministic code dependency graph for callers, routes, pages, tables, and config with file:line evidence instead of grepping. One server can serve many indexed graphs, supporting cross-repository impact analysis.

MCP server that provides code intelligence by indexing configured repositories, extracting deterministic facts, and enabling graph queries, drift checks, and maps via Kuzu-backed MCP tools.

Enables users to create and interact with hand-drawn sketches and architecture diagrams directly within chat interfaces using Excalidraw. It leverages the Model Context Protocol to provide interactive HTML visualizations with smooth viewport control and fullscreen editing capabilities.

The Diagrams.so MCP server enables generating, editing, and managing cloud architecture diagrams from any MCP client, wrapping the public Diagrams.so API.

Turns relational schemas into editable entity-relationship diagrams in draw.io, supporting live databases, SQL DDL, YAML/JSON specs, and existing .drawio files, with tools for managing tables, columns, and relations.

Analyzes runtime data objects to suggest optimal UI component instructions for a low-code renderer using structural heuristics. It automatically maps data patterns to specific UI elements like tables, carousels, and cards to streamline interface generation.