Manage incidents from your IDE. An MCP server allowing to pull out incidents and their associated metadata using Rootly API.

A Model Context Protocol server enabling AI assistants to interact with Kong Konnect's API Gateway, providing tools to query analytics data, inspect configurations, and manage control planes through natural language.

A server that provides access to Alibaba Cloud resources including ECS, VPC, and CloudMonitor through API and OOS implementations, enabling resource management and monitoring via a unified interface.

A Model Context Protocol server for Hackle API providing tools and resources for querying A/B Test data.

A server implementation that enables management of Alibaba Cloud ECS (Elastic Compute Service) resources through a collection of API and OOS automation tools, supporting operations like instance lifecycle management, monitoring, and resource inspection.

honeycomb-mcp-server

A Model Context Protocol server that enables AI assistants like Claude to interact with Bing Webmaster Tools API, allowing users to manage sites, submit URLs for indexing, analyze traffic, and access other webmaster tools through natural language.

An interface that allows large language models like Claude to interact with ActivityWatch time tracking data through the Model Context Protocol, enabling queries about application usage, browsing history, and productivity patterns.

A Model Context Protocol server that retrieves CVE information from the National Vulnerability Database, allowing AI models to access up-to-date vulnerability data.

Get information about the current operating environment

Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.

Provides access to Consul functionality (services, health checks, KV store, sessions, events, queries, etc.) through a standardized Model Context Protocol interface.

Enables interaction with Datadog's monitoring platform to search logs, search trace spans, and perform trace span aggregation for analysis.

A Model Context Protocol server that provides LLMs with real-time network traffic analysis capabilities, enabling tasks like threat hunting, network diagnostics, and anomaly detection through Wireshark's tshark.

A server monitoring and inspection tool collection that provides remote utilities for checking network interfaces, service statuses, and firewall configurations on servers.

Allows AI assistants such as Cursor/Cline/GitHub Copilot to use Google's lighthouse tool to measure perf metrics for your webpage. You can then run an agentic loop and get the assistants to optimize those metrics!

An MCP interface that allows AI assistants to query and analyze Grafana Loki logs using LogQL, with support for authentication and various output formats.

A Model Context Protocol server for querying and analyzing Azure resources at scale using Azure Resource Graph, enabling AI assistants to explore and monitor Azure infrastructure.

Phoenix MCP Server is an implementation of the Model Context Protocol for the Arize Phoenix platform. It provides a unified interface to Phoenix's capabilites. You can use Phoenix MCP Server for: Prompts Management: Create, list, update, and iterate on prompts Datasets: Explore datasets, and synte

Agentic tool that looks for statistical variations in conversation structure and logs unusual events to a SQLite database. Built using the Model Context Protocol (MCP), this system is designed to be used with Claude Desktop or other MCP-compatible clients.

A Model Context Protocol server that monitors shadow-cljs builds and provides real-time build status updates for ClojureScript projects, allowing LLMs to verify build status after making code changes.

A proof-of-concept Prometheus MCP server, which likely enables Claude AI to interact with Prometheus monitoring systems through the Model Context Protocol.

A server that enables retrieval of Sentry issues through two simple tools - get a specific issue by URL/ID or get a list of issues from a project.

MCP server implementation that enables LLMs to interact with Rollbar error tracking data, allowing users to list and analyze errors, view occurrences, track deployments, and access project information.

A remote Model Context Protocol server acting as middleware to the Sentry API, allowing AI assistants like Claude to access Sentry data and functionality through natural language interfaces.

This server acts as a MCP bridge to interact with the Cribl REST API. It allows AI models or other MCP clients to query and manage Cribl configurations.

for tracing and monitoring

Status Observer MCP

An MCP server that allows users to check if a website is experiencing downtime by querying isitdownrightnow.com, providing status information and details about recent downtime events.

alertmanager-mcp-server

A Model Context Protocol server that provides AI assistants with real-time data about Compresto's file compression app usage statistics, including total users, processed files, and total size reduced.

Enables AI models to analyze webpage performance using the Google PageSpeed Insights API, providing real-time performance scores and improvement suggestions.

Provides access to Prometheus metrics and queries through standardized Model Context Protocol interfaces, allowing AI assistants to execute PromQL queries and analyze metrics data.

Enables AI assistants to check software end-of-life dates and support status using the endoflife.date API, providing accurate information on software lifecycle, security status, and upgrade recommendations in real-time.

A MCP server for querying the VirusTotal API. This server provides tools for scanning URLs, analyzing file hashes, and retrieving IP address reports.

Execute SQL Query on InterSystems IRIS Do some monitoring and manipulations with Interoperability

A Model Context Protocol server that lets AI assistants interact with the Sentry API to retrieve and analyze error data, manage projects, and monitor application performance.

A lightweight server that enables AI clients to access and analyze real-time data from Gaggiuino espresso machine controllers through a simple HTTP API.

A specialized diagnostic framework that enables AI models to self-diagnose and fix MCP-related issues by analyzing logs, validating configurations, testing connections, and implementing solutions.

A Model Context Protocol server that provides LLM Agents with a comprehensive toolset for IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation.

A specialized MCP server that helps analyze and debug Model Context Protocol logs by providing Claude with direct access to log files across multiple platforms.

A Model Context Protocol server that integrates with DeepSource to provide AI assistants with access to code quality metrics, issues, and analysis results.

A Model Context Protocol server that enables AI tools to automatically log their activities with detailed metrics like timestamps, token usage, and costs into daily markdown worklog files.

Lighthouse MCP

Nessus MCP Server

The Seq MCP Server enables interaction with Seq's API endpoints for logging and monitoring, providing tools for managing signals, events, and alerts with extensive filtering and configuration options.

The MCP server provides an interface to the Datadog API, enabling seamless management of incidents, monitoring, logs, dashboards, metrics, traces, and hosts. Its extensible design allows easy integration of additional Datadog APIs for future expansions.

An unofficial server that allows AI assistants to access Fathom Analytics data, enabling users to retrieve account information, site statistics, events, aggregated reports, and real-time visitor tracking.

An MCP server that connects to your React Native application debugger

Server for interacting with Honeycomb observability data. This server enables LLMs like Claude to directly analyze and query your Honeycomb datasets.

Connects Claude to Portkey's API for managing AI configurations, workspaces, analytics, and user access, providing comprehensive control over API usage and settings.

AWS‑IReveal‑MCP

A server that exposes PagerDuty API functionality to LLMs with structured inputs and outputs, enabling management of incidents, services, teams, and users.

crypto-pegmon-mcp

A remote MCP server that enables real-time interaction with the Dynatrace observability platform, bringing production-level monitoring data directly into development workflows.

A Model Context Protocol (MCP) server for Grafana. This provides access to your Grafana instance and the surrounding ecosystem.

A Python-based MCP server that enables AI-assisted log file analysis with features for filtering, parsing, and interpreting log outputs, plus executing and analyzing test runs with varying verbosity levels.

A Model Context Protocol server that enables AI assistants to interact with Sentry for error tracking and monitoring, allowing retrieval and analysis of error data, project management, and performance monitoring through the Sentry API.

A FastMCP-based tool for monitoring server statistics that retrieves CPU, memory, and uptime information from both local and remote servers via SSH.

OpsLevel MCP

A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.

CP server for RAD Security, providing AI-powered security insights for Kubernetes and cloud environments. This server provides tools for querying the Rad Security API and retrieving security findings, reports, runtime data and many more.

An MCP server for searching and visualizing SolarWinds Observability logs, allowing users to query log data with filtering options and generate visual representations of log events over time.

Securely integrates Wazuh security data with LLMs (such as Claude Desktop) by retrieving alerts from Elasticsearch indices and transforming them into MCP-compliant format, enabling real-time security context in LLM applications.

Acts as a bridge between AI models and Google's PageSpeed Insights API, enabling detailed performance analysis of websites.

MCP server for querying the Shodan API and Shodan CVEDB. This server provides tools for IP lookups, device searches, DNS lookups, vulnerability queries, CPE lookups, and more.

MCP Server for Raygun's API V3 endpoints for interacting with your Crash Reporting and Real User Monitoring applications. This server provides comprehensive access to Raygun's API features through the Model Context Protocol.

Provides application insights for Vue apps by exposing component trees, state, routes, and Pinia data through a Model Context Protocol server.

An MCP server implementation that integrates AI assistants with Langfuse workspaces, allowing models to query LLM metrics by time range.

A powerful log bridging tool that synchronizes log information between Cocos Creator editor and Cursor AI, helping developers analyze and solve problems more effectively.

A JVM monitoring and control platform server based on Arthas that provides a Python interface for monitoring and analyzing Java processes with capabilities for thread analysis, memory monitoring, and performance diagnostics.

Provides Claude with real-time system monitoring capabilities, including CPU, memory, disk, network, battery, and internet speed metrics.

Enhances Claude's capabilities by providing access to website analytics data from Umami, enabling analysis of user behavior, website performance tracking, and data-driven insights generation.

An MCP server for interacting with Google's Chronicle Security Operations suite, enabling users to search security events, get alerts, look up entities, list security rules, and retrieve IoC matches.

AI-powered assistant that connects Claude to video encoding workflows, translating cryptic errors into plain English and providing actionable solutions for troubleshooting encoding jobs.

mcp-internet-speed-test

MCP Server for networl monitoring software ntopng.

A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.

MCP server for Huntress API integration

A Model Context Protocol (MCP) server implementation that allows AI assistants to run k6 load tests through natural language commands, supporting custom test durations and virtual users.

A tool that captures browser console logs and makes them available in Cursor IDE through the Model Context Protocol (MCP).

A Python-based MCP server that enables querying Cisco's Meraki Dashboard API to discover, monitor, and manage Meraki environments.

Provides tools for retrieving analytics reports and metrics from PlainSignal through the Model Context Protocol (MCP).

Globalping

Provides comprehensive security analysis tools for querying the VirusTotal API, enabling detailed security reports on URLs, files, IP addresses, and domains with automatic relationship data fetching.

ms-sentinel-mcp-server

A server that analyzes website performance using Playwright and Lighthouse, allowing LLMs to perform web performance analysis through the Model Context Protocol.

A mcp server for tracking cryptocurrency whale transactions.

MCP server for interacting with Prometheus metrics and data.

Provides advanced system monitoring and file search capabilities for macOS, allowing users to track performance metrics and perform enhanced file searches with content analysis and tagging features.

A lightweight server that provides real-time system information including CPU, memory, disk, and GPU statistics for monitoring and diagnostic purposes.

A file monitoring server that tracks filesystem events and provides real-time notifications to AI assistants, enabling them to automatically respond to file changes without manual updates.

litmus-mcp-server

This server provides tools to inspect error reports, stacktraces, and other debugging information from your Sentry account.

Provides programmatic access to ingest and query Windows event logs (especially Sysmon logs), enabling security monitoring, incident response, and log analysis automation.

A server that provides tools for retrieving SonarQube project metrics and quality data through a simplified message-based approach, allowing users to programmatically access metrics, historical data, and component-level information from SonarQube.

An MCP server implementation for accessing Google Analytics 4 (GA4) data, built using the Model Context Protocol TypeScript SDK.

Enables AI assistants to interact with Statsig's feature management and experimentation platform, allowing them to check feature flags, retrieve configurations, get experiment assignments, and log events.

A Model Context Protocol server that enables interaction with Apache SeaTunnel through LLM interfaces, allowing users to manage jobs, monitor system information, and configure connections through natural language.

mcp-victoriametrics

This is a Model Context Protocol (MCP) server implemented in Go, providing a tool to analyze Go pprof performance profiles.

Connects to Xcode's build system to extract, parse, and display errors and warnings from your Swift projects, helping AI assistants quickly identify code issues without manually searching through build logs.

An MCP server that enables Large Language Models to retrieve, analyze, and query metric data from Prometheus databases through pre-defined routes.

A Model Context Protocol server that enables AI assistants to interact with Kubernetes clusters through natural language, supporting core Kubernetes operations, monitoring, security, and diagnostics.

An MCP server that connects to OPC UA-enabled industrial automation systems.

A FastMCP-based tool for interacting with Splunk Enterprise/Cloud through natural language. This tool provides a set of capabilities for searching Splunk data, managing KV stores, and accessing Splunk resources

A Model Context Protocol server that provides unified access to Google Analytics 4 and Google Search Console data through real-time analytics queries.

An MCP server that connects to Sentry.io or self-hosted Sentry instances to retrieve and analyze error reports, stack traces, and debugging information.

Connects to Jira instances to generate weekly reports based on issue activity, supporting custom JQL queries and optional LLM summarization.

A simple MCP server that provides read-only access to Cloudways hosting resources, including servers, applications, monitoring data, and team management features.

An MCP server that allows AI assistants to access AWS CloudWatch logs by listing log groups and reading log entries.

An MCP server that monitors and provides analytics on weekly report submissions in a Google Sheet, allowing users to check missing submissions, view statistics, and track individual reporting status.

A Model Context Protocol server that enables AI assistants like Claude to interact with Mixpanel analytics, allowing them to track events, page views, user signups, and update user profiles directly through natural language requests.

A server implementing Model Coupling Protocol for HDF5 file operations, Slurm job management, hardware monitoring, and data compression.

MISP-MCP-SERVER

Enables MCP-capable applications to access, manage, and analyze system core dumps through integration with systemd-coredump functionality.

A natural language-based server analysis and monitoring system that automatically processes user queries about server status and provides detailed responses with visualizations.

A Model Context Protocol server that enables Large Language Models like Claude to query New Relic logs and metrics using NRQL queries.

An advanced system monitoring solution that uses unsupervised machine learning algorithms to detect abnormal resource usage patterns in real-time, with features including anomaly detection, process analysis, and Discord integration.

A tool that lets users access Prometheus metrics data through a Model Context Protocol server, supporting authentication options for secure data retrieval.

Provides an interface to access Google Analytics Data API through Model Context Protocol (MCP), allowing users to retrieve reports and realtime data from Google Analytics 4 properties.

A comprehensive system that helps organizations track, manage, and respond to security vulnerabilities effectively through features like vulnerability tracking, user management, support tickets, API key management, and SSL certificate management.

A Model Context Protocol server that enables monitoring and remote control of Nvidia Jetson boards using natural language commands over a network connection.

A Model Context Protocol server that provides access to Shodan and VirusTotal APIs for cybersecurity analysis, enabling analysts to perform network intelligence operations including host lookups, vulnerability analysis, and threat intelligence gathering.

Integrates Honeybadger error tracking with Cursor IDE, allowing developers to fetch, analyze, and troubleshoot application errors directly from their development environment.

An MCP server for Claude Desktop that allows users to check the status of their Airbyte connections.

Provides access to PyTorch CI/CD analytics data including workflows, jobs, test runs, and log analysis through an MCP interface.

This server integrates with GitHub Advanced Security to load security alerts and bring it into your context. Supports Dependabot Security Alerts, Secret Scanning Alerts, Code Security Alerts

A Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.

A tool that enables access to Prometheus metrics data through a Model Context Protocol server, allowing interaction with monitoring data using natural language.

A Model Context Protocol server that retrieves and analyzes Sentry.io issues, allowing users to inspect error reports, stacktraces, and debugging information from their Sentry account.

Opens a browser to monitor and retrieve console logs and network requests, providing structured data about web page behavior to LLMs.

VictoriaMetrics-mcp-server

A TypeScript implementation of a Model Context Protocol server that connects to Sentry error tracking service, allowing AI models to query and analyze error reports and events.

provide access to monitor and cluster logs from datadog

A Model Context Protocol server that allows users to query and analyze their SafetyCulture inspection data using natural language after providing an API key.

Allows AI models to query and retrieve analytics data from Plausible Analytics through the Plausible API, enabling natural language interactions with website statistics.

An MCP server that enables Claude and other MCP clients to interact with Mattermost workspaces, providing channel management, messaging capabilities, and topic monitoring functionality.

Webhook-tester MCP Server

An MCP server offering AI-driven social mention analysis via Syften's API, featuring real-time notifications and trend analysis.

A server that enables LLMs to detect anomalies in sensor data by providing tools for data retrieval, analysis, visualization, and corrective action execution.

A TypeScript server that allows AI agents to access, retrieve, and analyze Sentry error data through the Modern Context Protocol.

A centralized server that tracks and manages connected agents, providing a web interface to monitor their status while enabling agent communication through a central point.

Enables querying log data stored in SQLite databases through the Model Context Protocol, allowing natural language interactions with log analysis.

MCP server that interfaces with the Adjust API, allowing you to query mobile analytics reports, metrics, and performance data using natural language from any MCP client like Cursor or Claude Desktop.

Integrates with Sumo Logic's API to enable log search with configurable queries and time ranges, supporting error handling and easy deployment via Docker.

A lightweight Model Context Protocol server that enables creating, managing, and querying model contexts with integrated Datadog metrics and monitoring.