Analytics & Monitoring MCP Servers
Discover our curated collection of MCP servers for analytics & monitoring. Browse 467servers and find the perfect MCPs for your needs.
Wireshark
Integrates Wireshark network analysis capabilities with AI systems, enabling automated packet analysis and insights.
Cribl
Enables AI interactions with the Cribl API by providing a Model Context Protocol (MCP) server.
Unraid
Enables AI assistants to interact with and extract information from an Unraid server through the official Unraid GraphQL API.
Bing Searches
Collects, processes, and analyzes Bing search data to extract insights and patterns.
Onos
Enables network control and management capabilities through the ONOS SDN controller.
Aws News
Fetches the latest AWS announcements, blog posts, and news for specific AWS services.
Aliyun
Enables interaction with Aliyun (Alibaba Cloud) services.
Provenance Monitor
Monitors the software supply chain provenance of local Model Context Protocol (MCP) server packages.
SonarQube Metrics
Retrieves SonarQube project quality metrics programmatically via the FastMCP framework.
Bing Webmaster Tools
Connects AI assistants like Claude to the Bing Webmaster Tools API via the Model Context Protocol (MCP).
Strava
Enables language models to interact with Strava data, providing access to activities, athlete information, and more.
Honeycomb
Enables Claude AI to interact with the Honeycomb API for observability and monitoring workflows.
Berrystreet Metabase
Enables AI assistants to interact with Metabase for accessing and querying data.
InsightFlow
Analyze real-time data and generate AI-powered insights using natural language queries.
CloudWatch
Enables interaction with AWS CloudWatch resources, exposing log groups, queries, and alarms via the MCP protocol.
Globalping
Enables AI models to interact with a global network measurement platform through natural language.
Perses
Enables LLM hosts to interact with the Perses application in a standardized way.
SuzieQ
Enables language models to interact with SuzieQ network observability instances via its REST API.
VegaLite
Enables data visualization within LLM workflows using Vega-Lite specifications.
Sentry
Enables AI agents to access and analyze Sentry error data through a Modern Context Protocol (MCP) server.
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