发现我们为 analytics & monitoring 精心策划的 MCP 服务器集合。浏览 4486 个服务器,找到满足您需求的完美 MCP。
Discover and compare global GPT agents and MCP servers using this evaluation platform.
Enhances AI assistant capabilities with robust context management, accuracy enforcement, and safety protocols.
Detects and analyzes transactional fraud using a multi-model approach with large language models and external tools.
Automates the analysis of regression test failures and identifies solutions by matching relevant JIRA issues.
Streamlines the management and monitoring of diverse homelab infrastructure components, including containers, AI models, DNS, and networks, with integrated security and automation.
Provides real-time SEO intelligence, site audits, and AI-powered recommendations directly within your IDE.
Enforces declarative, domain-aware test coverage policies for Go projects.
Analyzes energy transition pathways, grid resilience, renewable adoption, fossil fuel risk, and energy security across regions.
Provides real-time US/TW stock quotes, portfolio tracking, and technical analysis through an integrated API and web dashboard.
Automates enterprise-grade cryptocurrency trading on Binance with comprehensive risk management, advanced backtesting, and AI integration for strategic execution.
Generates standardized tracking code based on the Model Context Protocol (MCP) for enterprise-level event tracking.
Provides AI agents with a standardized, ready-to-use API for accessing Stargate analytics and tools without authentication.
Integrates Granola.ai meeting intelligence with Claude Desktop, enabling natural language access to meeting transcripts, notes, and insights.
Captures browser console logs and errors, making them accessible for automated retrieval and analysis by AI agents.
Empower AI agents with advanced causal discovery and inference capabilities across diverse data domains.
Provides AI assistants with real-time dependency health data including outdated packages, vulnerabilities, and package quality metrics.
Measures inter-rater agreement across multiple large language models for robust AI evaluation pipelines.
Establishes a trust infrastructure for AI agents to reliably select and interact with external MCP servers using cryptographically signed execution receipts and Bayesian trust scoring.
Analyzes data compression, selects optimal algorithms, and benchmarks performance for various data types.
Provides real-time monitoring and analytics for agent networks, aggregating health metrics, population data, and transaction volumes.
Scroll for more results...