"Accessing Jira Tickets and Updating Their State" matching MCP servers:

Enables support engineers to investigate a ticket by cross-referencing simulated Zendesk, Datadog, Snowflake, and AWS data, returning a possible root cause, ranked hypotheses with evidence, and recommended checks.

Free remote MCP for Core Web Vitals metrics by CMS, CDN, and framework (Chrome field data + multi-site crawl). No auth. Endpoint: https://www.corewebvitals.io/api/state-of-cwv/mcp

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.

Enables MCP clients to retrieve lab performance scores and field Core Web Vitals data for web pages via Google APIs.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

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

Enables agents to fetch app reviews from Apple's App Store and Google Play per country store, newest first, filtered by date or star rating, with each scheduled run returning only reviews not seen before. It also returns a per-app, per-country rating trend row with the current rating, rating count, change since the last run, and the star split of new reviews.

Checks MCP servers by URL, npm package, or official MCP Registry search, reporting availability, response speed, exposed tools, resources, and prompts. It flags changes since prior runs as breaking, warning, or info using saved snapshots.

Enables local computer diagnostics by sampling CPU, memory, disk, and network activity and displaying the busiest processes in an interactive dashboard. It also supports human-confirmed process-stop proposals while keeping diagnostics local and bounded.

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.

Enables LLM agents to run device inspections, generate configuration drafts, analyze network logs, and create or transition tickets through five structured MCP tools with validated error codes and a ticket state machine. It provides matching Node.js and Python implementations that keep tool contracts and behavior consistent across runtimes.

Enables MCP-compatible agents to interact with Grafana instances for searching, creating, and updating dashboards, exploring logs via Loki, querying datasources, managing alerts, incidents, and on-call shifts, and accessing observability data.

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

Enables agents to inspect a Sentry account: identifying the token's owner, listing organizations, projects, and releases, searching issues with Sentry query syntax, and reading, updating, or commenting on individual issues and their events. Runs as a stdio MCP server authenticated via a Sentry auth token.

Enables AI agents to read managed endpoints, their software and hardware audit, patch status, agent procedures, alarms, tickets, organizations and machine groups, and, with explicit confirmation, deploy patches or run an agent procedure on an endpoint. Supports stateless multi-tenant access with per-request credentials for the VSA REST API.

Enables AI agents to read and act on the SuperOps.ai PSA and RMM GraphQL API, browsing client accounts, tickets, managed assets with their software and patches, and technicians, while running read-only custom queries. On explicit request it also performs writes such as creating or updating tickets, adding notes, and logging time.

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

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

Provides read-only access to a live trading experiment's public state, letting agents query current balance and open position, recently closed trades, contributor shadow rules and their promotion progress, and the latest saga chapter. It forwards every call to a single upstream MCP endpoint and returns responses untouched, with no trading or account-write operations.

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.

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.

Enables natural-language queries to Tactical RMM, GLPI/TurboDesk, Zabbix, and Grafana for IT alerts, agents, tickets, problems, and dashboard metadata through a local MCP stdio server.

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

Enables natural-language querying and analysis of AWS spending and model-invocation usage, including detailed breakdowns by service, region, account, day, and instance type.

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.