Monitoring and Logging MCP Repositories
72 repositories in this category.
error-monitor-frontend
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构建一个错误监控系统,集中收集、存储和展示 B 端应用的远程错误信息,旨在提升错误处理效率和用户体验。该系统支持前端错误上报和展示处理后的错误信息。
mcp-server-splunk
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Implements MCP Tools for managing Splunk resources including saved searches, alerts, and fired alerts. Supports STDIO and SSE transports for flexible deployment and interaction with Splunk data.
mcp-ynu
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Dynamically load tools, resources, and prompts from specified directories to enhance application capabilities. Offers automatic module discovery and logging features for efficient server management.
LinuxCTS
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A comprehensive testing script for Linux systems that evaluates system performance, configuration, and service status through various tests. It provides insights into system information, conducts performance and network tests, and checks the operational status of common services.
mcp-sumologic
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Search and retrieve logs from Sumo Logic using customized queries within specified time ranges, while supporting error handling and detailed logging.
whistle-mcp
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The Whistle MCP Server is a tool that allows users to manage their Whistle proxy servers using AI. It simplifies tasks such as network debugging, API testing, and proxy rule management through easy, natural language interactions.
mcp_vms
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Connects to CCTV recording software to retrieve live and recorded video streams, manage video channel information, and control VMS features like PTZ camera presets and playback dialogs.
alibabacloud-observability-mcp-server
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Provides access to Alibaba Cloud observability products, including Log Service, Application Real-Time Monitoring Service, and Cloud Monitor through a standardized MCP interface for efficient querying and interaction with observability data.
mcp-status-observer
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Monitor and query the operational status of major digital platforms in real-time, providing detailed information about specific services and components. Enables users to stay informed about platform health and respond to service disruptions promptly.
WireMCP
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WireMCP is a server that helps analyze live network traffic for security purposes. It captures and processes network data, making it easier for AI models to detect threats and understand network behavior.
cursor-a11y-mcp
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Run accessibility tests on web applications to identify compliance issues and enhance digital accessibility. Utilize axe-core and Puppeteer to generate detailed violation reports with information about impact levels and affected elements.
agent_construct
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Standardizes access to tools and data for AI applications, facilitating dynamic tool discovery and execution through a unified interface. It serves as a central hub for managing context and tool integration in AI models.
steampipe-mcp
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Enables natural language exploration and analysis of cloud infrastructure data across multiple platforms, including AWS, Azure, and GCP. Facilitates security and compliance checks, cost optimization, and query development through SQL queries powered by AI.
bugsnag-mcp
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Interacts with Bugsnag to monitor and analyze errors, providing features for organization navigation, error filtering, and detailed stacktrace viewing. It also offers code intelligence capabilities to distinguish between project and library code and provides source code context for errors.
stdout-mcp-server
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Captures and manages stdout logs from multiple processes, providing real-time monitoring and a standardized interface for querying, filtering, and analyzing logs. Facilitates debugging by enabling easy log retrieval through named pipes.
k6-mcp-server
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Run load tests using k6 with custom configurations and obtain real-time execution output. Integrates with the Model Context Protocol to streamline load testing processes and enhance performance insights.
jvm-mcp-server
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Monitor and analyze Java processes with real-time insights into JVM performance, memory usage, and thread information through a Python interface. Provides capabilities such as thread stack trace analysis, dynamic log adjustments, and AI-driven performance analysis.
datadog-mcp
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Enables powerful search and aggregation of logs and trace spans from Datadog, allowing for flexible queries and detailed data retrieval. Facilitates the integration of Datadog monitoring data into applications for insightful analysis.
datadog-mcp-server
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Interacts with the Datadog API to monitor systems, access monitor data, retrieve dashboards, query metrics, and manage incidents. Provides comprehensive error handling and advanced log searching capabilities.
gospy
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Inspect and analyze running Go processes, providing detailed information about goroutines, memory usage, and binary data through an interactive terminal and an HTTP API. Features include programmatic access via a Server-Sent Events endpoint and tools for inspecting goroutine states and memory statistics.
2025_McpLab_FastMCP
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Built using TypeScript, this server facilitates client session management for MCP by defining tools, resources, and prompts, while supporting authentication, logging, and real-time updates through SSE. It provides features like error handling, CORS, and CLI tools for testing and debugging.
mcp-sentry-ts
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Interact with Sentry's API to retrieve and analyze error data, manage projects, and monitor application performance.
dynatrace-mcp
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Connect to the Dynatrace observability platform to retrieve real-time observability data, including production problems, security vulnerabilities, logs, and events. Utilize natural language queries to automate notifications and integrate monitoring within development workflows.
ops-mcp-server
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A server toolset for monitoring and managing remote servers, providing functionalities for system checks, service status updates, network diagnostics, and security audits. It includes features for memory information retrieval, system load monitoring, and process management.
NmapMCP
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NmapMCP is a tool that allows users to perform various types of network scans, helping to identify open ports and discover associated subdomains. It is integrated with the Model Context Protocol for easy use in different applications.
mcp-server-raygun
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Access Raygun's error tracking and monitoring data, enabling users to view errors, crashes, and performance issues in applications. Provides comprehensive access to Raygun's API for managing applications and errors.
k8s-mcp
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Retrieve and diagnose issues in Kubernetes clusters through a comprehensive API, offering insights into resource utilization and pod statuses. Access real-time data for effective cluster management and troubleshooting.
esxi-mcp-server
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Manage VMware ESXi and vCenter environments through a REST API interface, allowing for the creation, cloning, deletion, and monitoring of virtual machines. Supports real-time performance insights and secure operations through API key authentication and SSL/TLS connections.
mcp_newrelic
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Query New Relic logs and metrics using NRQL queries for insights and monitoring. Provides detailed error logging and outputs that are formatted for readability.
mcp-server-datadog
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Retrieve and manage incidents, monitors, logs, dashboards, metrics, traces, hosts, and downtimes from Datadog for enhanced incident management and observability workflows.
