Discover our curated collection of MCP servers for analytics & monitoring. Browse 2143servers and find the perfect MCPs for your needs.
Interfaces with the Adjust API to provide access to your Adjust data from MCP clients.
Connects Uptime Agent monitoring systems to AI assistants like Claude using the Model Context Protocol (MCP).
Delivers comprehensive NFT collection analytics sourced from Dune Analytics.
Connects large language models (LLMs) to live Bing Ads data through a Model Context Protocol server.
Manage enterprise-grade fork parity with AI-powered analysis and automated workflows for upstream repositories.
Facilitates interaction with SonarQube APIs for project management, metrics retrieval, and authentication via a Model Context Protocol (MCP) server.
Manages and analyzes Cisco ACI (Application Centric Infrastructure) fabrics, offering a powerful interface for network administrators and developers to interact with APIC controllers.
Provides access to Observe API functionality, OPAL query assistance, and troubleshooting runbooks for LLM models through a Model Context Protocol server.
Empowers large language models to query and analyze user session data from OpenReplay, facilitating AI-powered insights into user behavior and application performance.
Provides direct access to essential on-chain Bitcoin data, tracking Unspent Transaction Outputs (UTXO) and block statistics.
Automates AI-powered Kubernetes cluster remediation and GitOps operations through a lean, containerized REST API, designed for orchestration by external systems like N8N.
Exposes Interactive Brokers Trader Workstation API functionalities as Model Context Protocol tools for seamless LLM client integration.
Enables AI agents to query and analyze New Relic log data through the NerdGraph API.
Integrate Bayarcash payment processing using AI and natural language commands.
Enables safe, read-optimized access to SQL Server databases for AI assistants through the Model Context Protocol.
Provides comprehensive network diagnostic and analysis tools to AI agents for efficient, structured insights.
Integrate Pulsyn smart ring health data, including sleep, HRV, heart rate, and activity, with AI assistants.
Provides an observability surface for AI agents to validate code changes and for humans to analyze distributed traces with AI assistance.
Analyzes complex personal and professional dilemmas by dissecting them into objectives, variables, constraints, and uncertainties, empowering users to make informed choices.
Gain deep visibility into the Godot editor runtime, enabling control of scenes, capture of output, and inspection of debugger states.
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