"Managing and Processing Jira Tickets" matching MCP servers:

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

Enables interaction with Jira Service Management Operations alerts and on-call schedules, including searching alerts, reading notes and activity logs, acknowledging, closing, annotating, adding responders, and querying current and next on-call rotations.

Enables running Jira project health audits directly in Claude Desktop, providing real-time health scores, risk detection, and team workload analysis through natural language.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

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

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.

Enables AI assistants to autonomously investigate and manage Sophos Channel Server incidents by connecting via SSH, checking Zabbix alerts, searching Jira, pattern matching known root causes, and creating LINFRA tickets.

MCP server providing 75 tools for querying devices, managing alerts, running scripts, creating tickets, and more via the NinjaOne RMM platform.

Enables AI assistants to interact with the NinjaOne platform for managing devices, organizations, alerts, and tickets through a decision-tree tool-loading architecture.

Enables management of NinjaOne devices, organizations, alerts, and tickets through natural language, using a navigation-based tool selection for efficient interaction.

Enables MCP clients to interact with NinjaOne, providing tools for managing devices, organizations, alerts, and tickets. Uses a decision tree architecture to load domain-specific tools on demand.

Enables AI assistants to interact with NinjaOne through a decision-tree interface for managing devices, organizations, alerts, and tickets via natural language.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Enables interaction with the SuperOps.ai PSA/RMM platform for managing clients, tickets, assets, and technicians via GraphQL API.

An intelligent AWS monitoring and incident response solution using Anthropic's Model Context Protocol (MCP). Enables users to monitor AWS resources, analyze CloudWatch logs and metrics, and automatically create Jira tickets with remediation steps.

Integrates Sentry error tracking and JIRA project management APIs, enabling users to query organizations, projects, and issues from Sentry, and retrieve or update JIRA ticket information through natural language.

An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.

Enables querying logs and metrics with plain SQL from any MCP client via pooml's read-only query API.

An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.