Model Context Protocol (MCP) provides a standardized way for AI agents to interact with external tools and services. Instead of building custom integrations for every system, MCP Actions define a uniform interface that any tool can implement. This means your AI agents can interact with new systems as they're connected — without retraining models or rebuilding integrations. It's the universal adapter for enterprise AI.
Every tool integration follows the same protocol. Whether it's a database query, an API call, or a system command — the AI agent interacts with them through a consistent, well-defined interface.
AI agents can discover available tools at runtime. When new integrations are added, agents automatically know what actions are available and how to invoke them.
Tool access is governed by the same claims-based permission system as everything else. Agents can only use tools their role authorizes.
Complex operations can chain multiple tool actions together — query a database, process the results, update another system — as coordinated workflows.
MCP Actions works in concert with other layers in the intelligence stack — each connection amplifying the capability of both components.
Future-proof your AI integrations. As new tools and systems enter your technology landscape, they connect through MCP and become immediately available to all AI agents — no custom integration engineering required.
Discover how MCP Actions fits into your enterprise intelligence strategy.
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