"React Query" matching MCP servers:

Enables automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.

An MCP server for React Native development with Expo, offering automated code remediation, refactoring, testing, and analysis tools to accelerate development and enforce best practices.

Bridges Claude Desktop with Claude Code CLI to delegate complex coding tasks like creating React apps, building APIs, and debugging scripts while maintaining interaction through the Desktop interface.

Enables coding agents to navigate and query source code by providing context, symbols, and call graph information through a graph index.

Query GPT-5, Claude, Gemini, and Grok simultaneously through one MCP server for multi-model AI perspectives in your coding agents.

Enables AI agents to search for and fetch pre-vetted, production-safe 3D and motion components (React Three Fiber & GSAP) for injection into Next.js apps via AST-safe edits.

Enables coding agents to query real SF Symbol names from the local SF Symbols app on Mac, helping generate valid SwiftUI/UIKit code without guessing.

Enables AI coding agents to efficiently query code context via a symbol graph, reducing token usage by up to 20x.

An MCP server that enables AI agents to semantically retrieve premium UI components from Awwwards and adapt them into clean React + Tailwind code.

MCP server that parses .sketch design files into CSS-aligned, LLM-friendly JSON, enabling AI coding agents to generate high-fidelity HTML, Vue, or React code.

Provides a persistent memory and governance layer that allows AI coding agents to query documented architecture rules and validate code against team standards. It enables agents to verify compliance across categories like security and testing before suggesting changes to ensure consistency across development sessions.

Exposes models available on the gm inference gateway as callable tools, enabling coding agents to query models and list available ones via natural language.

An MCP server exposing hybrid RAG search over SEC 10-K filings and an AI bug-fixing agent as callable tools, enabling MCP clients like Claude Desktop to query financial documents and propose test-verified code fixes through natural language.

Enables coding agents to query and commit to a research graph that remembers failed experiments, ensuring reproducibility and preventing redundant work.

Provides persistent long-term memory for AI coding agents by storing entities, relations, and observations across different sessions. It enables users to manage and query structured knowledge like coding preferences, project patterns, and technical solutions via a graph-based storage system.