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Enables AI agents to publish and manage pedagogical content in Moodle via Web Services with guaranteed idempotency. It provides tools for course management, lesson publishing, preview workflows, and direct Moodle API access.

Enables AI assistants to discover and search authentic Moroccan tourism experiences, cultural activities, and local operators through natural language queries with real-time data from verified sources.

A Multi-Agent Conversation Protocol server that provides access to the New York Times Most Popular API, allowing agents to interact with NYT's most viewed, shared, and emailed content.

A debugging workflow plugin for AI coding agents. Turns terminal failures into source-backed fixes via MCP and structured skills.

Enables AI assistants to perform complex chemical engineering calculations including thermodynamic modeling, equation of state calculations, phase equilibrium computations, and vapor-liquid equilibrium analysis. Built on the MoziChem framework to bridge AI language models with specialized chemical engineering tools.

Turns web-based AIs into full-powered agents with local PC access, 33 tools across 8 categories, and parallel swarm orchestration with real-time validation.

MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing. Hits Elasticsearch REST API directly for log queries; falls back to Kibana Console proxy when no direct ES URL is configured. Supports ApiKey auth (best for agents), Basic auth, and anonymous access. All 5 tools are read-only (readOnlyHint: true). Returns structured JSON (outputSchema).

MCP server for Prometheus metrics and observability. Give Claude (or any MCP-capable agent) read access to your Prometheus instance — query metrics with PromQL, inspect active alerts, and explore scrape targets without leaving the conversation. Tools: prometheus_list_metrics, prometheus_query, prometheus_query_range, prometheus_list_alerts, prometheus_list_targets.

Mstfe MCP

全面解析MCP Google TasksMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Google Tasks能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Enables multiple Claude Code instances to collaborate in real-time through channels, allowing AI agents to work together on projects without requiring local setup beyond Docker.

A standardized interface for agent-to-agent communication that enables composability, supports streaming, and implements server-sent events (SSE) for real-time interaction.

Coordinates specialized agents (Architecture, Quality, Cloud, Prompt) to plan, build, test, and deploy applications with self-healing capabilities, authentication, and analytics for autonomous software engineering workflows.

Coordinates specialized agents (Architecture, Quality, Cloud, Prompt) to autonomously plan, build, test, and deploy applications with self-healing capabilities, authentication via Descope, and analytics through Cequence.

Email for AI agents. Send and receive as markdown with human oversight.

An MCP server for agents to control MultiViewer, the best way to watch motorsports. Works locally or remotely.

A local-first persistent memory server that provides AI agents with deterministic, multimodal information retrieval across different sessions and projects. It enables long-term memory continuity using a 5-signal hybrid search engine and cognitive reasoning loops designed for complex development workflows.

Mushfiqur Rahman Robin MCP

全面解析MCP Server IntroMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Server Intro能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

A composition-focused server built on music21 for generative music workflows, enabling melody generation, musical transformations, chord reharmonization, counterpoint creation, and MIDI export through constraint-based algorithmic composition tools.

Enables AI assistants to control Apple Music on macOS using AppleScript for playback, library management, and playlist operations. It supports features like searching tracks, managing the play queue, and retrieving detailed metadata through a structured interface.

Enables management of Amazon Managed Workflows for Apache Airflow (MWAA) environments and operations including DAG management, workflow execution monitoring, and access to Airflow connections and variables through a unified interface.