"React Query" matching MCP servers:

Bridges React Native DevTools, enabling AI assistants to debug, profile, and inspect React Native applications through a standardized protocol.

Enables AI agents to read and optionally write to PostgreSQL databases through a multi-project setup with schema inspection, query execution, and performance analysis tools.

Enables read-only querying of Azure Log Analytics and Azure Resource Graph through MCP, supporting KQL queries, workspace discovery, and resource inventory exploration with Azure RBAC authentication.

MCP server for querying and analyzing TensorBoard event files, enabling AI agents to extract scalar data, statistics, and correlations without a running TensorBoard server.

An MCP server that connects to your React Native application debugger

Provides AI agents with visibility into React applications by exposing tools to inspect component state, props, and performance metrics. It enables debugging and state analysis for both web and React Native applications through the Model Context Protocol.

Enables users to ask about render performance in React and React Native apps via natural language, exposing tools for listing render hotspots and explaining component re-renders.

Enables AI assistants to inspect React Native app performance including memory, rendering, frames, and network requests, providing plain-language summaries and shareable reports.

Exposes a metrics query API to AI assistants, allowing them to issue queries and interact with the server's tools such as ping.

Streams live React profiler data to AI agents, enabling them to analyze performance and suggest specific, actionable fixes for slow components.

Monitors host CPU/RAM, local ports, and Docker containers, streaming live telemetry to a React dashboard over SSE. Exposes MCP tools to query system status, read environment logs, and execute remediation fixes via a local LLM agent.

Logs LLM interactions to local CSV or Markdown files with automatic categorization for detailed tracking. It provides an interactive HTML dashboard to visualize query volume, model usage, and category distribution.

Server for interacting with Honeycomb observability data. This server enables LLMs like Claude to directly analyze and query your Honeycomb datasets.

Captures and provides access to React Native console logs from Metro bundler, enabling AI assistants to retrieve, filter, and search app logs in real-time without manual copy/paste.

Enables debugging any Laravel application remotely via the Clockwork HTTP API, from any MCP client, with tools for query analysis, slow query detection, N+1 detection, exception inspection, and full request profiling.

An MCP server that gives AI agents hands-on control of a live React Native app, enabling UI taps, screenshots, UI/component trees, native logs, and JS/React profiling to debug, verify fixes, and diagnose performance issues.

MCP server allowing AI agents to query New Relic for debugging incidents.

Execute SQL Query on InterSystems IRIS Do some monitoring and manipulations with Interoperability

Real User Monitoring for Core Web Vitals. Query LCP, INP, and CLS field data from real visitors.

Enables AI assistants to query and manage email deliverability data — bounces, complaints, suppressions, delivery stats, and campaigns — across multiple providers like AWS SES, SendGrid, Mailgun, and Postmark.