"How to create tasks or issues in Jira" matching MCP servers:

A server that enables retrieval of Sentry issues through two simple tools - get a specific issue by URL/ID or get a list of issues from a project.

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.

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

A pre-action risk gate for AI agents. Your agent calls the forecast tool before any irreversible action — send email, run SQL, make a payment, delete a file — and gets a risk score (0–100) and a GO / CONFIRM / STOP verdict in a few seconds.

Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.

Enables state-aware Terraform/OpenTofu plan evaluation against live AWS topology and CloudWatch telemetry, detecting reliability blast radius and FinOps waste before merge.

Enables AI agents to check the health of internet infrastructure and specific services, helping diagnose whether issues are local or external.

Enables agents to interact with a GlitchTip instance for issues, events, projects, releases, alerts, uptime monitors, performance, and more via stdio or HTTP.

Local-first FinOps MCP server. Ask about your AWS, Azure, GCP, and SaaS costs in plain English. Anomaly detection, rightsizing, idle-resource cleanup, and Jira/Linear ticketing. Credentials never leave your machine.

Enables interaction with Qinglong Panel (青龙面板) to query, execute, and monitor scheduled tasks and subscriptions, including viewing task lists, running tasks synchronously or asynchronously, retrieving execution logs and status.

Enables AI agents to inspect a live Celery deployment over RabbitMQ or Redis — checking which workers are responding, their pools, concurrency and consumed queues, and how many messages are backed up in each queue — so agents can diagnose stuck or unrouted tasks. Read-only by default, with broker credentials masked in all output.

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

Enables users to ask directly within a Claude Code or Codex chat how much energy and CO2eq their current session or entire project has consumed, estimated locally from session logs with no telemetry or network calls. It also reports everyday-activity equivalents such as kettle boils or washing machine cycles for the resulting figures.

Integrates with MES, CMMS, and IoT systems to manage manufacturing operations, maintenance tasks, and asset tracking. It enables users to query production orders, create maintenance records, and monitor real-time sensor data and alerts.

MCP Server for notify to telegram / weixin

MCP server that exposes the V-Track project management API as tools for AI assistants, enabling interaction with projects, tasks, issues, sprints, and more.

Enables MCP clients to create and list error-tracking projects and investigate grouped exception issues using captured OTLP error data. It provides admin-token-secured tools for project setup and issue investigation.

Enables Pi to connect to Sentry's MCP endpoint, allowing an agent to search issues, events, and traces after OAuth sign-in.

Enables AI agents to browse N-able N-central RMM data such as org unit hierarchies, devices, assets, lifecycle and service status, active issues, scheduled tasks, custom properties, maintenance windows and access groups. On explicit request it also performs writes — running scripts or automation policies on a device, changing custom properties or lifecycle data, adding or deleting maintenance windows, and creating device or org unit access groups.