React Query is a data-fetching and state management library for React applications that provides tools to fetch, cache, and update data in React applications.
A Model Context Protocol server that fetches up-to-date, version-specific documentation and code examples from libraries directly into LLM prompts, helping developers get accurate answers without outdated or hallucinated information.
Last updated
16
2
546,432
58,543
MIT
Why this server?
Generates React Query hooks from Swagger/OpenAPI definitions, providing data fetching capabilities with built-in caching for React applications
A server based on Model Context Protocol that parses Swagger/OpenAPI documents and generates TypeScript types and API client code for different frameworks (Axios, Fetch, React Query).
Last updated
12
23
16
ISC
Why this server?
Optionally generates React Query hooks for API operations when generateHooks is enabled.
Enables AI-assisted debugging of React applications by providing browser control, DOM inspection, network monitoring, React DevTools, and error analysis through natural language conversation.
Last updated
5
1
MIT
Why this server?
Referenced in constitution examples as a preferred library choice for state management over Redux
Implements GitHub's Spec-Driven Development methodology, transforming natural language requirements into executable specifications, technical plans, and ordered task lists with contract-based validation and progress tracking.
Last updated
6
2
MIT
Why this server?
Used for state management in the frontend through TanStack Query for efficient data fetching and caching.
Local-first kanban and approval-gate issue tracker with a native MCP server (13 tools). Humans approve; agents claim, QA, and complete issues. Single Go binary + SQLite.
Last updated
1
MIT
Why this server?
Recognizes useQuery and useMutation calls from React Query, linking frontend data fetching to backend APIs.
Multi-language code-graph MCP server with 18 tools for structural code queries — find_symbol,
callers, callees, blast_radius, dead_code, and cross-stack dataflow_trace from HTTP request through
service layers to SQL. Tree-sitter parsing for Python, TypeScript, JavaScript, and Go;
local-first, no API key required.
Last updated
10
MIT
Why this server?
Detects and analyzes API calls made with React Query (TanStack Query).
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.