Analytics & Monitoring MCP Servers
Discover our curated collection of MCP servers for analytics & monitoring. Browse 458servers and find the perfect MCPs for your needs.
Sentry
Acts as a middleware MCP server to interact with the upstream Sentry API provider via LLMs.
Mysql Pro
Enables enhanced MySQL operations with anomaly analysis and custom tool extension capabilities.
Wire
Empowers LLMs with real-time network traffic analysis using Wireshark's tshark.
Google Ads
Analyze advertising data through natural language conversations using Claude AI and Google Ads integration.
MCPBench
Evaluates the performance of MCP servers for web search and database query tasks.
AWS Cost Explorer
Enables analysis and visualization of AWS cloud spending data using Anthropic's Claude model as an interactive interface.
Quickchart
Generates charts using the QuickChart.io service through Model Context Protocol (MCP).
Gospy
Inspects and analyzes running Go processes to provide insights into goroutine states and memory usage.
Snowflake
Enables interaction with Snowflake databases through a Model Context Protocol (MCP) server, facilitating SQL query execution and data insight memo management.
Prometheus
Enables AI assistants to query and analyze Prometheus metrics through standardized Model Context Protocol (MCP) interfaces.
Google Search Console
Analyze SEO data through natural language conversations by connecting Google Search Console with Claude AI.
Logfire
Enables LLMs to retrieve application telemetry data, analyze distributed traces, and use results from SQL queries executed via Logfire APIs.
Datadog
Integrate with the Datadog API to manage incidents, monitors, logs, dashboards, metrics, traces, and hosts.
VegaLite
Enables LLMs to visualize data through a Model Context Protocol (MCP) server using Vega-Lite specifications.
Tinybird
Connects to a Tinybird Workspace and interacts with data sources and API endpoints using the Model Context Protocol.
Vantage
Fetch costs and usage data from a Vantage account using natural language queries.
JVM
Enables AI models to interact with and monitor JVM-based applications through a standardized Model Context Protocol (MCP) server implementation.
Pubmearch
Analyzes PubMed medical literature to provide researchers with insights into medical research trends.
PostgreSQL
Provides PostgreSQL database management capabilities, assisting with analysis, debugging, schema management, data migration, and monitoring.
Log Analyzer
Provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation.
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