"Two agents working simultaneously" 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.
Now part of GAIP Witness: verifies GAIP receipts; evidence packs and incident bundles.
Read-only Increase banking observability plus one safe non-money-moving write, for AI agents.
Error tracking for small teams and their coding agents.
Psyche audits for AI agents: declared vs self-reported vs revealed objectives, diffed and flagged.
Read-only watchtower for AI agents on-chain: decoded receipts, plan vs execution, Safe audits.
Watchdog for unattended AI agents: alerts, evidence checks and a verifiable proof per run.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
Ingest and search LogsLoom logs from coding agents.
Check if any website is down, from two continents, with uptime history and TLS expiry
Know when cron jobs and AI agents stop running: create monitors and check in from your agent.
Dead-man switch monitors for cron & AI agents with dependency-cascade alerts. No account needed.
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
Transparent public utilities for agents. Requests are counted without storing identifiers.
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.
Read-only production error evidence for coding agents investigating failures.
Analytics for MCP servers. Find out which of your tools agents get wrong. MCPulse shows you which tools AI agents retry, which come back empty, and which they never call at all. Two lines inside your own server. It never sees your arguments or your results. getmcpulse.com
