"Netflix Media Control Protocol (MCP) or Management Platform" matching MCP servers:

Security-enforcing MCP proxy that sits between an AI agent and any number of downstream MCP servers, intercepting every tool call through a capability-token policy gateway that can allow, deny, or escalate to human approval before the call reaches any real tool. It also exposes built-in operator tools for approval workflows, audit trail queries, token management, voice/HUD output, and hierarchical

An internal MCP server providing Database (SQL execution) and Server (Linux SSH/SFTP) skills with 11 tools, enabling remote execution, risk control, and full audit via Claude Code or other clients.

Local MCP server for Bind Protocol — credential parsing, verification, and hashing tools for AI agents.

Trust, identity, and reputation infrastructure for AI agents. Register agents with W3C DID (Ed25519), check EigenTrust reputation scores, submit peer attestations, search agents by capability, and verify IPFS-anchored audit trails. 11 tools.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

An open-source MCP server that gives parents real-time oversight and guardrails over their children's AI agent interactions, with features like content filtering, spiral detection, and approval flows.

The control plane for AI prompts that scores, enforces policy, locks config, and audits every prompt decision.

A governance and control layer for MCP tools that manages tool requests as intents through policy-based approval, queuing, or blocking. It enables secure human oversight and audit trails for consequential agent actions across platforms like Claude Desktop and Cursor.

MCP/REST endpoints for token safety scans, honeypot checks, ecosystem stats, and on-chain task rewards.

MCP server for managing devices via JAMF Pro and Microsoft Intune APIs, enabling AI assistants to query and control device management tasks.

MCP server for Azure resource management, AI Foundry, and Entra ID — inspect and operate Azure infrastructure through AI agents.

Demonstrates agent-native platform onboarding with human-in-the-loop API key provisioning, plus live usage and rate-limit queries via Anthropic Admin APIs.

Wraps multiple bug bounty platform APIs (HackerOne, Bugcrowd, etc.) behind a uniform MCP tool surface, enabling LLM agents to query programs, scope, and briefs across platforms through a single interface.

Provides real-time supply chain compromise intelligence from X, enabling coding agents to check packages and view recent incidents before adding dependencies.

A framework for building MCP servers with built-in enterprise capabilities such as authentication, authorization, telemetry, audit logging, and data classification, allowing domain developers to focus on business logic while maintaining governance and compliance.

Enables role-based order management operations such as viewing orders, checking refund eligibility, issuing refunds, deleting orders, and managing users through MCP tools with audit logging and permission checks.

A hardened MCP gateway that lets AI agents securely call infrastructure APIs like Kubernetes, Terraform, and Jenkins, with authentication, rate limiting, and OPA policy enforcement.

MCP server that enforces role-based access control for order management, allowing users to view, refund, or delete orders based on their role (USER, MANAGER, ADMIN) with a JWT-authenticated FastAPI frontend.

Provides search, detail lookup, and gap listing tools for a security control inventory, enabling natural language queries about control status and gaps.

Provides AI agents with programmatic access to Zscaler AI Guard, enabling autonomous management of detection policies, match rules, LLM applications, and LLM providers.