provide access to monitor and cluster logs from datadog

Enables AI models to interact with Jira using a standardized protocol, offering full Jira REST API integration with features like optimal performance through connection pooling, error handling, and request monitoring.

Provides an interface to access and manage JIRA data through the Model Context Protocol, offering features like relationship tracking, data cleaning, and contextual insights for AI applications.

A Node.js server that integrates with pytest to facilitate the ModelContextProtocol (MCP) service tools, enabling test execution recording and environment tracking.

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

MCP server for interacting with Prometheus metrics and data.

Query and interact with kubernetes environments monitored by Metoro. Look at APM, metrics, traces, profiling information with LLMs.

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.

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