"How to run Python code" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Uptime monitoring, status pages and on-call in one place. Create and tune monitors for HTTP, TCP, DNS, ping, TLS certificates, domain expiry, heartbeats and scripted browser logins. Run a check on demand, read uptime and response-time history, acknowledge and resolve incidents, post incident updates, schedule maintenance windows and edit public status pages. Read-only until you grant write access.
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/
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Agent-native service discovery and purchase-intent routing to Stripe-hosted checkout.
Check updown.io uptime checks, downtimes, response metrics and status pages, and create checks.
Trace events to function runs to the failing step, and bulk-cancel runs.
Real-time status & uptime monitoring for 294 popular APIs — is it down, and how reliable?
Watchdog for unattended AI agents: alerts, evidence checks and a verifiable proof per run.
Verifies Bernstein run receipts and hash chains; lists the shipped presets and adapters. Read-only.
Report-To group count, body discarded
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
RUM platform for web performance analytics, Core Web Vitals, and third-party script monitoring.
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.
Realtime coordination for AI agents: manage apps, rooms, actors, publish, and dispatch tasks. Visit https://nolag.app and setup your account.
Uptime monitoring and public status page: HTTP monitors, down/up alerts and incidents.
- 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
