analytics & monitoring를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1556개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Analyzes and automates Zabbix events using AI-powered Model Context Protocol.
Enhances network analysis with LLM-powered capabilities, real-time threat detection, and comprehensive security features for enterprise environments.
Empowers AI assistants and agents to interact with the Sei blockchain and the broader Web3 ecosystem through a unified interface.
Provides comprehensive Kubernetes cluster management and GKE monitoring using AI-driven insights through Google's AI Development Kit.
Performs intelligent, AI-powered code audits for security, quality, performance, and more using local Ollama models.
Provides neuroscience-inspired intelligent project analysis and learning capabilities, enhancing software development workflows within Claude Code.
Provides daily activity and graduate metrics across multiple Solana launchpads.
Enables natural language conversations with any JDBC-compatible database for querying, analysis, and visualization.
Retrieves analytics reports and metrics via the Model Context Protocol (MCP).
Provides seamless access to the LODA language and OEIS integer sequences through a Model Context Protocol server.
Integrates LinkedIn APIs for AI assistants, enabling profile management, content creation, networking, messaging, and analytics.
Provides a self-hosted Model Context Protocol server for JavaScript-enabled web scraping and versatile document processing.
Provides comprehensive tools and a web interface for monitoring and defining performance bottlenecks in Logstash instances.
Provides a high-performance, local-first memory server in Rust, equipping AI agents with an advanced hybrid memory system combining knowledge graphs, vector embeddings, and full-text search.
Analyzes customer data, creates targeted marketing campaigns, and provides actionable business insights using AI agents within a Customer Relationship Management system.
Provides an unofficial, experimental Model Context Protocol (MCP) server to interface large language models with the Observe platform for data analysis and troubleshooting.
Accesses financial market information and news articles through a unified interface with Model Context Protocol (MCP) servers and tool calling.
Provides comprehensive system information and management capabilities for Linux servers via MCP protocol and HTTP REST API, enabling AI agents to remotely monitor and interact with server resources.
Analyzes sentiment in textual data within MCP Server environments.
Manage podcasts, episodes, and analytics on Transistor.fm through an MCP server.
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