发现我们为 analytics & monitoring 精心策划的 MCP 服务器集合。浏览 4291 个服务器,找到满足您需求的完美 MCP。
Enables analysis of clinical trial data from the AACT database, tracking development trends, and generating analysis memos.
Analyzes webpage performance using Google PageSpeed Insights, providing detailed metrics and improvement suggestions.
Provides administrators with a server to manage QueryPie instances, enabling monitoring and management capabilities.
Manages and enriches local music collections with advanced metadata, intelligent classification, and comprehensive analytics.
Monitors and locally stores Slack messages in real-time, enabling intelligent semantic search and analytics through an MCP server.
Facilitates advanced AI detection, plagiarism checking, and text comparison capabilities through a Model Context Protocol server.
Provides AI agents with programmatic access to AppSignal's monitoring data, metrics, and developer tools.
Provides comprehensive Open Source Intelligence (OSINT) capabilities for EVE Online characters, corporations, and alliances by integrating data from ESI, EveWho, and zKillboard APIs.
Integrates the RescueTime API with the Model Context Protocol (MCP) to access and manage personal productivity data and focus sessions.
Offers a comprehensive Model Context Protocol (MCP) server for Taiwan stock trading, delivering real-time stock prices, in-depth financial analysis, and extensive market insights.
Analyze content to uncover what user queries it covers and misses, leveraging the same techniques AI search engines use internally.
Enables AI agents to perform in-depth analysis of .NET memory dumps, inspecting heaps, threads, and exceptions using natural language.
Integrates Sentry's API into the Model Context Protocol (MCP) to provide issue and trace details for contextual development workflows.
Transforms jQAssistant-generated Neo4j graphs into semantically rich, AI-ready knowledge graphs for Java/Kotlin source code analysis.
Scores context engineering quality in Claude Code workspaces, providing a detailed health check across setup, usage, and AI fluency dimensions.
Orchestrates a multi-agent cryptocurrency intelligence system for advanced market analysis and simulated trading.
Integrates Cube's AI agent to provide chat functionality for real-time analytics and data exploration.
Empowers AI agents with comprehensive user research capabilities, from study design to insight reporting.
Provides a terminal UI for real-time log viewing and an AI-queryable endpoint for agents to interact with application logs.
Unify SaaS traffic generation, security tests, convergence probes, and voice/IoT/VyOS simulations within a single web UI for SD-WAN and SASE validation.
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