Analyzes telemetry data and distributed traces using OpenTelemetry. Queries metrics and performs SQL queries for insights into application exceptions and errors in real-time.

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.

Integrates real-time production context including logs, metrics, and traces into local development environments for code auto-fixing. Supports various IDEs and allows for retrieving exceptions and service graphs related to those exceptions.

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.

Integrates Locust load testing capabilities into AI development environments, enabling configurable load tests with real-time output in both headless and UI modes. Supports customizable test scenarios through an easy-to-use API.

Collects and exposes detailed metrics from a Ceph cluster for Prometheus monitoring, providing real-time insights to optimize performance and reliability without requiring additional configuration.

Provides terminal access through a web interface for executing shell commands, browsing directories, and managing server tasks without requiring root access. Supports real-time updates of command outputs for immediate feedback.

Search and retrieve logs from Sumo Logic using customized queries within specified time ranges, while supporting error handling and detailed logging.

Integrates with the Datadog API to facilitate access to monitoring features, including incident management, logs, and metrics. Supports streamlined observability processes for enhanced incident response and monitoring capabilities.

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。

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.

Configures OpenTelemetry Collectors dynamically by managing components such as receivers, processors, and exporters. Facilitates the updating and retrieval of telemetry component information from specified resources.

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.

Exposes system metrics such as CPU, memory, disk, network, and host information through an MCP-compatible interface, enabling real-time retrieval of system data for LLMs.

Access AWS CloudWatch Logs for efficient analysis, searching, and correlation. Provides functionalities for browsing log groups, executing queries, generating summaries, and identifying error patterns across AWS services.

Enables AI agents to access and query network monitoring data stored in the NTOPNG database, facilitating traffic analysis and reporting through seamless integration. Utilizes ClickHouse for historical flows and alerts within the NTOPNG framework.

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.

Logs unusual events in conversations and analyzes statistical variations, storing the results in a SQLite database. Designed for use with MCP-compatible clients like Claude Desktop, it enhances interaction by monitoring conversation structure.

Connects to a React Native application debugger to retrieve console logs from Metro, facilitating real-time log access for debugging. Aids in identifying and resolving issues more efficiently during app development.

Retrieve detailed system information such as platform, memory, CPU, network, and user data for use in applications. Supports cross-platform operation and is easily integratable with MCP-enabled tools.

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.

Analyze and debug Model Context Protocol logs from various platforms. Filter, paginate, and retrieve log entries for troubleshooting and understanding tool interactions.

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.

Enhance microservices with advanced flow control, traffic shaping, and circuit breaking capabilities. Monitor services in real-time while managing performance under varying loads through customizable rules and integration with popular frameworks.

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.