"Kyverno policy examples and documentation" matching MCP servers:

An authorizing reverse proxy for MCP servers that enforces per-call policy rules on tool arguments with audit logging, dry-run, and rate limiting.

Per-agent-pair IAM for A2A, enabling policy definition and enforcement for agent-to-agent calls with EU AI Act compliance.

An MCP Server that enables interaction with Google's Organization Policy API, allowing users to manage organization policies that control resource behavior within Google Cloud environments.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables AI agents to discover and execute tools via a secure MCP server with JWT authentication, RBAC, rate limiting, and audit logging.

Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.

Enables AI agents to discover and invoke backend tools over MCP JSON-RPC while enforcing 3-legged OAuth 2.0 identity propagation, role-based access control, and protocol transcoding to REST APIs.

Provides a standardized protocol for tool invocation, enabling an AI system to search the web, retrieve information, and provide relevant answers through integration with LangChain, RAG, and Ollama.

A production-oriented reliability, benchmarking, and evaluation system that layers multi-version protocol negotiation, adaptive streaming, connection pooling, and resilience onto an MCP agent runtime.

An authless Cloudflare Workers server that provides tools to scrape, analyze, and answer questions about websites using Cloudflare's Browser Rendering and AI capabilities.

A meta-MCP server that acts as a universal gateway, allowing users to discover and execute tools from thousands of other MCP servers through semantic search. It dynamically loads servers on demand and provides standardized functions for searching, discovering, and running tools across the entire MCP ecosystem.

he industry standard reference for safe, observable, and steerable AI agent UX. Browse and search 10 Blueprint principles, clusters, curated implementation examples, and application guides. 13 public tools require no credentials.

A zero-dependency MCP gateway: host your own tools, forward and curate tools from other MCP servers, expose them leanly to cut agent token cost, and gate every call through your own policy hooks before it runs.

Enables AI agents to safely inspect and execute version-controlled operational runbooks with policy checks, dry-run planning, and out-of-band approvals.

Check whether a URL is allowed under a network-egress policy before any fetch, with tools for single URL, batch checks, and policy validation.

An MCP server that enables AI agents to safely operate multi-cluster Kubernetes fleets through an Open Cluster Management hub, with policy enforcement, human approval, and audit tracing.

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

Enables AI coding agents to plan, policy-check, and cost-estimate Terraform changes while requiring human approval through Slack or CLI before any terraform apply can execute.

An MCP server that enforces deterministic authorization boundaries for AgentTeams workflows by verifying evidence and policy, returning ALLOW, BLOCK, or REQUIRE_APPROVAL decisions before actions are executed.

Deterministic MCP control plane for native Codex subagents, providing durable state, policy gates, budgets, artifacts, evidence workflow, and recovery for Sol/Terra/Luna hierarchical agent threads.