"Developing a Flutter application with embedded React Native" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching 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/
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Dead-man's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.
Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di
Dead-man switch monitors for cron & AI agents with dependency-cascade alerts. No account needed.
Watchdog for unattended AI agents: alerts, evidence checks and a verifiable proof per run.
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
AI-ready vendor incident status with public active incidents and plan-scoped history.
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.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
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
Investigate errors, track deployments, analyze performance, and manage application monitoring
Interact with a global network measurement platform.Run network commands from any point in the world
Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.
The official MCP server for Lizard (lizard.build). Ship a service, add Managed Postgres, Managed Redis or Managed Object Storage, read logs and metrics, set secrets, scale replicas and attach domains — in plain words. 33 tools over Streamable HTTP, OAuth 2.1; destructive tools require an explicit confirmation argument.
