"Learning about PHP programming language" matching MCP servers:

Local, read-only Modal context for coding agents. Enables agents to inspect Modal apps, deployments, logs, containers, volumes, and sandboxes without granting mutation tools.

Enables users to generate and execute InfluxDB queries using natural language commands in Korean. Supports querying metrics like CPU usage, memory status, and system monitoring data through conversational interface.

Enables LLM agents to query real-time and historical analytics from WireBoard, allowing natural language questions about visitors, events, and site metrics.

Enables AI agents to push and read metrics from EzStat, track counters/gauges, and ask natural-language questions about telemetry.

Connects AI assistants to Crontinel, enabling natural language queries about cron jobs, queues, Horizon status, and alerts without opening a browser.

MCP server for Google Search Console, enabling chat-based queries about search performance, sitemaps, and URL indexing status via natural language.

A Model Context Protocol (MCP) server that enables AI assistants to query Tideways performance monitoring data and provide conversational performance insights for PHP applications.

Exposes DataFast analytics as tools for AI assistants, enabling natural language queries about website metrics such as visitors, referrers, revenue, and real-time data.

Web-only MCP server for php-spx reports that calls embedded SPX web endpoints, parses full reports, and returns LLM-sized JSON summaries instead of raw event streams.

Enables comprehensive interaction with Elasticsearch APIs through natural language queries, specifically optimized for security analysis, threat detection, incident investigation, and compliance monitoring with advanced machine learning capabilities for anomaly detection.

Self-hosted web analytics platform that exposes analytics data via the Model Context Protocol, enabling natural language queries about traffic, page views, web vitals, and custom events.

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.

A control panel and coordination system for AI agents, enabling scope control, real-time monitoring, and audit trails without requiring programming skills.

MCP servers for real-time development monitoring and interactive pair programming.

An MCP server that connects Claude to Teradata GCFR operational reporting, enabling natural-language queries about stream status, process history, loads, transforms, errors, SLA, and data lineage without writing SQL.

Gives Claude live access to your Observe tenant, enabling natural language queries about errors, logs, and metrics without writing OPAL pipelines.

A local MCP server that lets Claude answer plain-language questions about your Anthropic usage and spend across the developer API platform and Claude Enterprise products.

Enables fast, on-device machine learning with production-grade persistence through the Model Context Protocol. It allows instant training of text classifiers using Extreme Learning Machines, with SurrealDB-backed persistence and monitoring.

Mnemosyne is an MCP server that gives AI assistants deep visibility into Kubernetes clusters, enabling natural language queries about cluster state, pods, services, and more.

A natural language-based server analysis and monitoring system that automatically processes user queries about server status and provides detailed responses with visualizations.