Monitoring MCP Servers
Browse all MCP servers categorized under “Monitoring”. Find tools that match this tag's focus—be it a supported model, function, provider, or use case.
mcp-grafana
by grafana
The Grafana MCP server is a Model Context Protocol server designed to integrate with Grafana, allowing users to access and manage their Grafana instances and related functionalities. It supports features such as searching dashboards, querying datasources, handling incidents, and managing OnCall schedules.
kubectl-mcp-server
by rohitg00
Kubectl MCP Tool is a Model Context Protocol server designed for Kubernetes, facilitating natural language interaction with AI assistants to manage clusters efficiently. It offers extensive features including core Kubernetes operations, natural language processing, monitoring, security, and diagnostics.
search1api-mcp
by fatwang2
Search1API MCP Server is a Model Context Protocol server that facilitates search and crawling operations using Search1API. It provides features like web and news search, content extraction, and sitemap retrieval, with seamless integration capabilities for various MCP clients.
mcp-jfrog
by jfrog
The JFrog MCP Server is an experimental Model Context Protocol for the JFrog Platform API. It supports functionalities such as repository management, build tracking, and runtime monitoring, aiming to enhance JFrog's platform capabilities.
prometheus-mcp-server
by pab1it0
Prometheus MCP Server is an MCP-compatible server that enables AI assistants to interact with Prometheus for metric queries and analysis. It supports authentication and Docker deployment, providing configurable tools for enhanced functionality.
logfire-mcp
by pydantic
The Logfire MCP Server facilitates access to and analysis of OpenTelemetry traces and metrics via Logfire. It offers tools to retrieve and analyze telemetry data, execute SQL queries, and is compatible with popular MCP clients for additional functionality.
mcp-server-datadog
by winor30
The Datadog MCP Server is a community-driven project that connects with the Datadog API to offer observability tools like monitoring incidents and retrieving metrics. It is part of the Model Context Protocol ecosystem and is designed for extensibility to enhance Datadog functionality through additional API integrations.
jvm-mcp-server
by xzq-xu
The JVM MCP Server is a monitoring server for Java processes using Arthas and a Python interface, facilitating tasks like thread information retrieval, memory usage monitoring, and AI-driven performance analysis. It supports both local and remote monitoring of Java environments using SSH.
dynatrace-mcp
by dynatrace-oss
The Dynatrace MCP Server provides a bridge to incorporate real-time observability data into your development workflow seamlessly. It offers capabilities for querying log data, detecting security issues, and integrating with platforms like Slack for notifications. This server streamlines the development process by providing essential insights from the Dynatrace observability platform.
sonarqube-mcp-server
by sapientpants
The SonarQube MCP Server integrates SonarQube with AI assistants through the Model Context Protocol, providing access to code quality metrics and analysis. It supports usage with both SonarQube and SonarCloud environments, offering tools for managing projects, issues, and monitoring system health.
datadog-mcp-server
by GeLi2001
The Datadog MCP Server is a Model Context Protocol server designed for seamless integration with the Datadog API, providing features to access monitor data, dashboards, metrics, and more. It offers comprehensive error handling and supports regional endpoints, making it versatile for various use cases in monitoring and data retrieval.
vercel-mcp-server
by Quegenx
Vercel MCP Server provides extensive management capabilities for Vercel deployments using MCP, empowering users with tools for team, project, and configuration management. It integrates seamlessly with Cursor's Composer and Codeium's Cascade, offering an efficient platform for handling projects and deployments.
mcp-monitor
by seekrays
MCP System Monitor is a tool designed to provide detailed system metrics through the Model Context Protocol, enabling real-time interaction with LLMs. It monitors CPU, memory, disk, network, host, and process information.
mcp-victoriametrics
by VictoriaMetrics-Community
The VictoriaMetrics MCP Server integrates with VictoriaMetrics, offering advanced monitoring, debugging, and automation capabilities. It supports various read-only APIs, and features embedded documentation, making it a comprehensive solution for engineers and developers.
cloudwatch-logs-mcp
by serkanh
The CloudWatch Logs MCP Server is an MCP server designed to access AWS CloudWatch logs. It features tools for listing log groups and retrieving log entries, and can be set up using AWS credentials for desktop or Docker deployment. Built with the MCP SDK, it interacts with AWS services using boto3.
pyATS_MCP
by automateyournetwork
The pyATS MCP Server is a secure, model-driven solution for interacting with network devices using Cisco pyATS and Genie. It provides structured communication over STDIO using JSON-RPC, featuring tools for device management and integration with LangGraph.
ops-mcp-server
by Heht571
ops-mcp-server is an AI-driven IT operations platform that uses LLMs and MCP architecture for intelligent monitoring and interaction with IT infrastructure. It offers automated server monitoring, anomaly detection, and context-aware troubleshooting, ensuring enterprise-grade security and scalability.
honeycomb-mcp
by honeycombio
Honeycomb MCP is a server that allows interaction with Honeycomb observability data using LLMs. It's aimed at enterprise customers, providing analytics and querying capabilities across different environments with performance optimization features.
mcp-monitor
by polishedcat
MCP System Monitor is a tool designed for real-time system metrics monitoring via the Model Context Protocol, allowing integration with language models. It efficiently tracks various system resources such as CPU, memory, disk, network, host, and process information.
mcp-architect
by squirrelogic
MCP Architect is a Model Context Protocol server delivering extensive architectural expertise across several domains through specialized agents, resources, and tools. It features design templates, best practices, and support for generating and analyzing architectural designs.
esxi-mcp-server
by bright8192
The ESXi MCP Server is designed for managing VMware ESXi and vCenter environments. It offers a RESTful API with real-time communication, enabling efficient virtual machine management and performance monitoring.
mcp-sentry-ts
by codyde
The Sentry MCP Server is designed for interacting with Sentry through a Model Context Protocol server. It provides tools to retrieve and analyze error data from Sentry, manage projects, and monitor application performance. The server requires specific Node.js and Sentry configurations for setup and operation.
seatunnel-mcp
by ocean-zhc
SeaTunnel MCP Server is designed to interact with SeaTunnel through LLM interfaces, facilitating tasks such as job management and system monitoring. This server provides dynamic connection configurations, built-in logging tools, and REST API interactions to support efficient SeaTunnel operations.
mcp
by PostHog
PostHog MCP is a server allowing users to leverage PostHog functionality via the Model Context Protocol. It provides users with insights into feature flags and errors, enhancing user experience through a desktop client interface.
alibabacloud-observability-mcp-server
by aliyun
Alibaba Cloud Observability MCP Service is designed to facilitate the integration of AI assistants with Alibaba Cloud's observability products. It primarily supports tools for monitoring and logging, and emphasizes secure deployment practices.
mcp_newrelic
by Ivlad003
New Relic MCP Server is designed to query New Relic logs using NRQL, providing easy integration with Large Language Models like Claude. It features human-readable output formatting, error logging, and configurable New Relic account settings.
mcp-server-prometheus
by loglmhq
The mcp-server-prometheus is a TypeScript-based server that interfaces with Prometheus to provide access to metrics and data through the Model Context Protocol. It offers features like detailed metric metadata, support for JSON structured data access, and capabilities to list and access Prometheus metrics.
ESP32MCPServer
by navado
ESP32 MCP Server is an implementation for ESC32 microcontrollers to facilitate resource discovery and monitoring through a WebSocket interface using the Model Context Protocol. Key features include WiFi configuration, WebSocket server for real-time updates, and a comprehensive test suite.
mcp-shodan
by ADEOSec
The ADEO CTI MCP Server is a cybersecurity tool developed by ADEO Cybersecurity Services. It integrates Shodan and VirusTotal APIs to provide comprehensive security analysis, including threat intelligence, malware detection, and vulnerability assessment, enhancing cybersecurity operations through automation and advanced analytics.
mcp-server-raygun
by MindscapeHQ
Raygun MCP Server is a Model Context Protocol server that integrates with Raygun's API V3 for advanced Crash Reporting and Real User Monitoring applications. It offers extensive management options for applications, error handling, performance monitoring, and team collaboration. The server ensures a streamlined setup with Claude Desktop and includes detailed debugging tools.
Owasp-Zap-MCP-Server-Demo
by shadsidd
The OWASP MCP Server is designed to enhance OWASP ZAP's security scanning capabilities by providing real-time control through a WebSocket-based server. It facilitates automation, error handling, and integration into CI/CD pipelines, making security assessments more efficient.
bugsnag-mcp
by tgeselle
The Bugsnag MCP Server is a Model Context Protocol server designed to integrate with Bugsnag, offering advanced error and issue management functionality for LLM tools. It features error monitoring, code intelligence, and comprehensive issue handling capabilities, tailored for seamless browsing and error analysis.
mcp-victorialogs
by VictoriaMetrics-Community
VictoriaLogs MCP Server is a Model Context Protocol server designed to facilitate the integration and utilization of VictoriaLogs instances. It offers extensive support for querying and analyzing logs, as well as seamless interaction with VictoriaLogs APIs.
myaiserv
by eagurin
MCP Server is an implementation of the Model Context Protocol using FastAPI to enable seamless communication between large language model (LLM) systems and applications. It features a high-performance API, extensive monitoring tools, and scalability options, making it integrable with LLMs and various functional tools.
rollbar-mcp-server
by rollbar
rollbar-mcp-server is a Model Context Protocol server that integrates with Rollbar, offering tools to access and analyze data related to item details, deployments, and versions. It is built for direct execution by AI tools.
querypie-mcp-server
by querypie
QueryPie MCP is a management server for QueryPie, offering features like instant chart visualization, real-time resource monitoring, and detection of suspicious behaviors. It enables robust management capabilities for server administrators.
grafana-loki-mcp
by tumf
Grafana-Loki MCP Server is a FastMCP server that allows querying Loki logs through the Grafana API. It offers multiple features such as retrieving Loki labels and label values, formatting results in different formats, and supporting various transport protocols. The project requires Python 3.10+ and is licensed under MIT.
nuclei-mcp
by addcontent
The Nuclei MCP Server is designed for implementing a fast and customizable vulnerability scanner using Model Context Protocol. Key features include caching, template filtering, and both basic and advanced scanning options.
mcp-server-kibana
by TocharianOU
The Kibana MCP Server allows MCP clients to interact with Kibana instances using natural language or programmatically. It supports secure authentication, extensive API access, and is community-maintained.
sentry-issues-mcp
by Leee62
sentry-issue-mcp is an MCP server that streamlines the process of retrieving and analyzing issues from Sentry. It provides tools to fetch event details and supports intelligent analysis using a language model.
sentry-mcp-stdio
by getsentry
The Sentry MCP Server is a Model Context Protocol server designed to interface with the Sentry API. It is tailored to help AI assistants retrieve, analyze error data, manage projects, and monitor application performance. Note that a more feature-rich MCP server by Sentry is available for advanced needs.
mcp-status-observer
by imprvhub
MCP Status Observer is a tool designed to monitor the operational status of major digital platforms, using intuitive commands to provide real-time updates on service availability. It integrates with Claude Desktop, offering a simple interface to query and retrieve status information for platforms like GitHub and Discord.
jaeger-mcp-server
by serkan-ozal
The Jaeger MCP Server is a Model Context Protocol server designed to integrate with MCP clients to facilitate the querying and management of traces in a Jaeger instance. It supports configuration via environment variables and provides several tools for fetching traces, services, and operations.
mcp_lcu_server
by guolisen
The MCP Linux Common Utility Server is a Python server that provides access to operations and information for various Linux system components using the Model Context Protocol. It features comprehensive support for CPU, memory, and network operations, alongside robust system monitoring and logging capabilities, tailored for secure Linux environments.
linode-mcp-server
by takashito
Linode MCP Server connects AI Assistants to Linode cloud infrastructure for conversational management of cloud resources. It supports SSE and StreamableHTTP transport and integrates with AI tools for seamless cloud operations. Key features include extensive tooling for Linode services and natural language interactions.
aranet4-mcp-server
by diegobit
The aranet4-mcp-server is an MCP server designed to manage the Aranet4 CO2 sensor, allowing data collection and configuration via an AI-assisted setup. It offers features such as remote querying of historical data and automatic data fetching through cron jobs or similar methods.
mcp-server-seq
by ahmad2x4
The Seq MCP Server is designed to interface with Seq's logging and monitoring system through the Model Context Protocol, offering comprehensive API access. Key features include signals management, event retrieval, and alert state monitoring, with robust configuration and development options.
nr-mcp
by ducduyn31
The nr-mcp project aims to provide an MCP server that enables AI agents to query New Relic, facilitating the debugging of incidents. It includes tools for users and developers, including setup instructions and development resources.
stdout-mcp-server
by amitdeshmukh
The stdout-mcp-server is a Model Context Protocol server designed to capture and manage stdout logs via a named pipe system, making them accessible for debugging and real-time monitoring. It supports cross-platform use and offers features such as log filtering, configurable history, and retrieval through MCP tools.
prometheus-mcp-server
by tjhop
The Prometheus MCP Server allows large language models to interface with a Prometheus instance using APIs to execute queries and analyze data. It provides tools for metrics management and alert handling.
honeycomb-mcp-server
by kajirita2002
The Honeycomb MCP Server is designed to allow Claude AI to integrate with the Honeycomb API, enabling enhanced data observability and management through streamlined operations. It supports dataset management, query execution, and board interactions with a focus on observability and monitoring tasks.
claude-mcp-server-observability
by agardnerIT
The project provides a demonstration of setting up an MCP Server for observability using Claude Desktop. It guides through the setup process, enabling users to analyze log errors through interactive queries with Claude's assistance.
alertmanager-mcp-server
by ntk148v
Prometheus Alertmanager MCP is a Model Context Protocol server to manage Prometheus Alertmanager resources. It offers features such as querying alerts and managing silences with AI interaction and Docker support.
groundlight-mcp-server
by groundlight
The project is a Model Context Protocol server designed to interact with Groundlight, offering tools to analyze images through detectors based on natural-language queries. It provides functionalities for detector management, image query submission, and alert system for actions on specific conditions. The server aims to continuously improve its capabilities.
mackerel-mcp-server
by ryuichi1208
The project is an MCP server implementation designed for integration with the Mackerel monitoring service, offering comprehensive host and service management capabilities. It facilitates tasks such as monitoring, alert handling, and downtime management through a variety of intuitive features. It requires Python 3.12 or greater and a Mackerel API key to operate.
digma-mcp-server
by digma-ai
Digma Code Observability MCP Server assists in code reviews by providing insights into runtime issues and inefficiencies. It uses observability data for dynamic analysis, enhancing the code's performance and identifying high-risk changes.
suzieq-mcp
by PovedaAqui
This project is an MCP server that allows language models and other MCP clients to interact with a SuzieQ network observability instance via its REST API, making network state and statistics accessible through defined commands.
openwrt-mcp-server
by morninglight-el
openwrt-mcp-server is designed to operate on OpenWrt-based embedded routers, allowing communication between devices and AI systems. It promises performance, versatility, and secure integration to enhance device monitoring and operational capabilities.
mcp-helper-tools
by MissionSquad
MCP-helper-tools is a server built on the Model Context Protocol that provides a set of utilities for LLM Agents. It offers functionalities like network diagnostics, system monitoring, and security tools, making it ideal for enhancing task automation and management.