"How to execute a Python script" matching MCP connectors:
Matching Connector Tools:
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.
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Uptime watchdog and dead man switch for AI agents and cron jobs. Alerts you when a job goes silent.
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)
Free anonymous website, DNS, email and TLS checks, plus read-only access to your monitors.
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.
Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
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.
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.
Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith