"How to Create Projects in Jira" matching MCP servers:

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 AI agents to index TouchDesigner installations, control live instances with undoable batches and health checks, and inspect saved .toe projects offline.

Enables interaction with PostHog analytics platform, allowing users to list projects, create annotations, and search insights through natural language in Claude Desktop.

Connects AI clients to Tenable OT Security, exposing OT/ICS asset inventory, vulnerabilities, events, policies, and findings as read tools, with an opt-in dry-run write layer for asset edits and policy management.

Enables AI assistants to interact with Healthchecks.io, allowing users to list, create, update, pause, resume, and delete checks, as well as view ping history and integrations.

Enables querying and managing Sentry projects, issues, and events through natural language.

A powerful, lightweight Model Context Protocol (MCP) server built in Python that enables Artificial Intelligence assistants (Claude Desktop, Cursor, Antigravity, Claude Code, etc.) to manage and monitor your Proxmox VE cluster using natural language.

Enables Claude to monitor and inspect running processes through a lightweight wrapper that captures stdout/stderr logs and stores process metadata in SQLite. Users can track any command execution and query process status, logs, and history through natural language.

A read-only MCP server that gives Claude safe access to Kubernetes clusters, enabling listing, describing, and monitoring resources without mutation risks and with secret masking.

Enables interaction with Incident.io to manage incidents, severities, and health checks via natural language. Provides endpoints for getting and creating incidents.

Enables ChatGPT to list, create, update, pause, resume, and delete monitoring items in Signal Desk via OAuth-protected MCP tools, with support for periodic execution and Web Push notifications.

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.

Enables local research workflows (paper discovery, relevance scoring, digests) and homelab monitoring (Prometheus, logs) through an MCP server, using local LLM inference via Ollama with no cloud dependencies.

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

Enables uploading PyPTO swimlane files and querying task durations and dependencies for performance analysis with swimlane diagrams in Codex.

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

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 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.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

MCP server for system monitoring, enabling users to ask about CPU, memory, disk, network, and processes on their system.