"How to manage Jira tickets effectively" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Warm CDN and reverse-proxy caches: manage sites, run warms, read cache-hit stats.
Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/
Oviond brings data from 100+ marketing platforms into one reporting platform. Through the Oviond MCP server, AI assistants can securely access and work with Oviond clients, projects, reports, dashboards, widgets, and marketing data. Ask questions about your reporting data, analyze marketing performance, and manage reporting workflows directly through your AI assistant.
Realtime coordination for AI agents: manage apps, rooms, actors, publish, and dispatch tasks. Visit https://nolag.app and setup your account.
Agent-native service discovery and purchase-intent routing to Stripe-hosted checkout.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Real-time status & uptime monitoring for 294 popular APIs — is it down, and how reliable?
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
Report-To group count, body discarded
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Vantaj uptime monitoring via MCP - manage monitors, heartbeats, incidents, and status pages.
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
Self-hostable uptime monitoring: create checks, read incidents, manage status pages.
- ZopnightOAuthdev.zop.api
Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude
Investigate security events and manage the allow/deny lists an analyst acts on.
Trace events to function runs to the failing step, and bulk-cancel runs.
Website uptime monitoring: run checks from 300+ locations, manage monitors, alerts and incidents
Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.
