"Two agents working simultaneously" matching MCP connectors:
Matching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Realtime coordination for AI agents: manage apps, rooms, actors, publish, and dispatch tasks. Visit https://nolag.app and setup your account.
Dead-man's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Read-only Increase banking observability plus one safe non-money-moving write, for AI agents.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
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.
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
Governance and grounding layer for engineering teams running AI coding agents (Claude Code, Cursor, Codex). Grounds agents in your codebase's knowledge graph, and adds session audit, policy controls and cost/token visibility.
Real-time web analytics for AI agents: query traffic, funnels, revenue, and manage your sites.
Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Build and monitor LLM apps on Orq.ai: AI gateway, agents, prompts, evals, traces.
Causal reasoning for reliability: root cause, blast radius, and service health for agents.
Governance layer for AI coding agents: knowledge-graph grounding, session audit, policy controls.
Query your Betterlytics web analytics from AI agents: traffic, funnels, journeys, errors, uptime.
Track Keito time entries and LLM costs from AI agents.
Mobile observability for AI agents. Investigate crashes, hangs, ANRs, bugs, and app performance, and triage app store reviews, directly from your IDE or terminal.