GitHub shipped MCP allowlists in enterprise managed settings, giving organization administrators a central control to specify exactly which Model Context Protocol servers Copilot agents across the enterprise are permitted to connect to, rather than leaving that decision to individual developers or repositories. This closes a governance gap that has been growing as MCP has become the default way to wire AI coding agents up to external tools and data sources: without a centralized allowlist, any developer with Copilot access could point an agent at an arbitrary, potentially malicious MCP server, and that server could then be positioned to read repository contents, inject instructions back into the agent's context, or exfiltrate whatever the agent has access to, all without security teams having any visibility into which external services are actually in the loop. Enterprise MCP allowlisting flips that model to default-deny for anything not explicitly approved, which is the same pattern security teams have applied to browser extensions, third-party OAuth apps, and package registries for years, now extended to the newer category of AI tool integrations. For platform and security teams that have been watching MCP-related vulnerability disclosures accumulate over the past several months, from prompt injection chains to outright unauthenticated MCP bridges, this is a concrete, low-effort control to put in place immediately: rather than trying to audit every developer's local MCP configuration individually, security teams can define an enterprise-wide allowlist once and have it apply uniformly, turning MCP server approval into the same kind of routine access-governance decision as approving a new SaaS integration.