"Information about Ansible - IT automation tool" matching MCP connectors:

MCP tool observatory: do registry servers answer, and are their answers true? No key.

Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?

Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.

Research honeypot. Logs connections and tool arguments; injects instructions. Read README first.

Live reliability for AI agent tools: is it working right now, and how do I call it correctly?

Track cost, latency, and usage of every MCP tool call from any client (Claude, Cursor, Windsurf). Free 25K calls/month — open-source proxy, EU-hosted.

EU-hosted website monitoring + 17-framework compliance MCP. One anonymous tool, four authenticated.

DORA OS Conductor — 16-tool meta-orchestrator for DORA compliance workflow automation.

DORA OS EventFabric - 14-tool event stream for DORA compliance signals and pub/sub fabric.

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.

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

heera.it via Agentimus: AI readiness, traffic, request log, search & index reports, by approval.

Trust checks for MCP servers: trust scores, tool-drift detection, signed diligence receipts. Free.

Hash-chained HMAC-signed audit log MCP for A2A (agent-to-agent) calls. Every tool-call, agent-ha...

Read-only MCP access to a documented IT fleet: state, changes, posture. 15 tools.

Register every AI agent, log every action, prove it. EU AI Act compliance built in.

PII scanning and redaction receipts for LLM traces and tool payloads.

The Buildkite MCP server exposes Buildkite product data (pipelines, builds, jobs, and test data) to AI tools, editors, and agents through the Model Context Protocol. It provides capabilities including pipeline creation and management, build monitoring with specialized tools like 'wait_for_build', efficient log querying using Apache Parquet conversion and caching, and OAuth-based authentication for both read-write and read-only access to Buildkite's REST API.