Discover our curated collection of MCP servers for analytics & monitoring. Browse 3906 servers and find the perfect MCPs for your needs.
Integrates WildFly application server management with Generative AI capabilities.
Enhances Claude's capabilities by providing access to website analytics data from Umami.
Interfaces with the Google Analytics Data API using a Model Context Protocol (MCP) server.
Exposes PagerDuty API functionality for use by Large Language Models.
Tracks newly created liquidity pools on Uniswap across nine blockchain networks in real-time.
Query European financial data through an API optimized for use with AI language models.
Enable AI assistants to explore and query your Tailpipe data using natural language.
Connects AI assistants to Logchef, enabling natural language interaction for log management and analysis.
Analyzes log files from the Chuanyu Cloud Defense Platform, designed for integration with AI large models.
Provides advanced code analysis and semantic search capabilities for large codebases, facilitating automatic refactoring and domain understanding.
Provides AI assistants with secure, read-only access to MoneyWiz financial data for natural language queries and financial analytics.
Access futures market analytics, including Open Interest, Liquidations, Long/Short Ratio, and Funding Rates, via the CoinGlass API.
Enables Large Language Models to interact with Cisco Intersight APIs by exposing its operations as callable tools.
Provides deterministic tech stack recommendations, project estimations, and technical debt audits for large language model clients.
Provides a Model Context Protocol server for VictoriaMetrics Anomaly Detection, enabling AI assistants to interact with its REST API.
Scores your Claude Code Second Brain setup across 45 check layers and 3 dimensions to identify areas for improvement.
Monitors real-time AI conversation health and context degradation in popular AI CLIs to advise users on when to refresh a session.
Optimizes Claude Code setups by scanning for improvements, identifying issues, and providing actionable fixes and reports.
Integrates Garmin Connect data with Claude Desktop, enabling interactive charts and AI-powered health and fitness analysis.
Establishes a universal context and memory layer for AI agents, preventing repeat mistakes by capturing feedback, generating prevention rules, and injecting relevant historical context.
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