"React Query" matching MCP servers:

A Model Context Protocol server that provides development and debugging tools for Expo-based React Native applications, enabling developers to manage Expo servers, capture logs, and manipulate project files.

Exposes mobile system capabilities as MCP tools so AI agents can access clipboard, location, calendar, contacts, files, storage, networking, and device connectivity through standard transports. It applies permission policies and native adapters for integration into mobile apps without bundling an AI agent or host bridge.

An MCP server that delegates filesystem operations to a specialized React agent, reducing context usage and improving accuracy for AI applications like Claude Code.

Compresses React/Next.js files, HTML, and SVG into a compact JSXN notation optimized for AI assistants, reducing token consumption by ~40%. Provides an MCP server with tools to read, encode, and decode JSXN.

Exposes the agent's sandboxed file tool over stdio so any MCP client can retrieve the contents of a UTF-8 text file inside the working directory, with failures returned as recoverable error strings instead of exceptions. It lets the same ReAct loop swap in-process dispatch for an MCP hop without changing tool signatures.

A terminal-based MCP server that provides tools like web search, URL fetching, note management, and calculations, and connects them to a LangGraph ReAct agent for multi-step tasks.

An MCP server with six tools including web search, URL fetching, math calculation, and note management. Designed for a live-coding demo integrating FastMCP with LangGraph ReAct agents.

Enables rapid creation of new projects from predefined templates including React, Node.js, Django, Flask, and more. Provides comprehensive project scaffolding with file system operations, template management, and command execution capabilities.

A production-grade Model Context Protocol server that enables secure management of context data through a React dashboard, supporting ZIP processing, context approval workflows, and system monitoring.

Enables AI tools to understand a database, inspect schema, and run safe SELECT queries with SQL guardrails, plus optional codebase reading.

Official MCP server for UploadKit, the file-uploads platform for developers. Gives Claude Code, Cursor, Windsurf, and Zed first-class knowledge of UploadKit's 40+ open-source React components, Next.js route handler scaffolding, wiring, BYOS (S3/R2/GCS/B2) configuration, and full-text search across 88+ docs pages. Runs locally via npx — no API key, no telemetry, no config.

Enables AI assistants to query and export from the macOS Apple Photos library using natural language, backed by osxphotos.

A token-efficient, schema-aware MCP server that enables AI assistants to safely read, modify, query, and validate JSON, YAML, and TOML files with automatic schema detection and format conversion capabilities.

A universal resource server that enables AI models to mount local folders, scrape web pages into Markdown, and query SQLite databases without writing code. It features a real-time TUI dashboard and persistent configuration for managing diverse knowledge sources.

An MCP server that lets users query, validate, convert, and compare IFC/BIM files using natural language. Runs fully locally and integrates with AI agents like Claude.

Maintains a self-updating JSON index of repository files, functions, and descriptions so agents can query relevant files instead of grepping the tree.

MCP server for Autodesk Flow Production Tracking (ShotGrid) enabling AI assistants to query, create, update, and delete entities via the ShotGrid API with built-in RAG anti-hallucination and safety layers.

Enables AI assistants to read, write, query, and manage JSON data files with automatic ID and timestamp generation.

Enables AI agents to manage plain .jsonl files as tables, offering tools to list libraries and tables, query data, and upsert rows while preserving byte-for-byte fidelity on unchanged rows.

Enables AI agents to safely interact with GitHub, query Postgres read-only, check deployment status, and search/read files within an allowlisted sandbox—all with dry-run writes and SQL/path safety gates.