"How to manage GitHub projects" matching MCP connectors:
Matching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
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/
Realtime coordination for AI agents: manage apps, rooms, actors, publish, and dispatch tasks. Visit https://nolag.app and setup your account.
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Free anonymous website, DNS, email and TLS checks, plus read-only access to your monitors.
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
performance-review MCP — wraps StupidAPIs (requires X-API-Key)
Cloudflare Radar MCP — internet observatory (traffic, attacks, BGP, quality)
Manage status pages: components, incidents and maintenances; set live component status.
Manage Cronitor monitors and send telemetry pings — list, inspect, create, update, delete.
Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.
Vantaj uptime monitoring via MCP - manage monitors, heartbeats, incidents, and status pages.
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
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.
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
Real-time web analytics for AI agents: query traffic, funnels, revenue, and manage your sites.