Model Context Protocol

Model Context Protocol (MCP) is an open standard introduced by Anthropic in late 2024 that lets AI assistants connect to tools, data sources, and services in a consistent, vendor-neutral way. Rather than building bespoke integrations for every combination of AI app and data source, developers can build one MCP server per service (Slack, Google Drive, a database, Stripe, GitHub) and any MCP-compatible AI assistant can consume it. The protocol covers resource discovery, tool invocation, and prompt templates. Major adopters include Claude Desktop, Cursor, Windsurf, and a growing ecosystem of community-built MCP servers. MCP dramatically simplifies agent integration in enterprise AI environments, reducing the integration sprawl that has historically plagued the space. AI governance, AI compliance, and AI risk management programs are adapting to MCP-based deployments by treating MCP servers as new categories of integration requiring connector reviews, access controls, and responsible AI policies before connection to production AI systems.

Centralpoint Brings MCP Connectors Under Enterprise Governance: Oxcyon's Centralpoint AI Governance Platform manages MCP-style connectors across OpenAI, Gemini, Llama, and embedded models. Centralpoint meters every interaction, keeps prompts and skills on-premise, and embeds connector-aware chatbots into your portals with a single line of JavaScript.


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