# Model Context Protocol (MCP)

The Model Context Protocol (MCP) is an open standard, introduced by Anthropic in 2024 and rapidly adopted across the industry, that defines a universal way for AI Agents to discover and connect to external tools, data sources, and services. Instead of building point-to-point integrations for each system an AI Agent needs to access, MCP provides a semantic layer: any MCP-compatible service can be discovered and used by any MCP-enabled agent. NiCE Cognigy embraced MCP as a foundational architecture at Nexus 2026, positioning the Cognigy.AI platform both as an MCP client (consuming external tools) and as an MCP server (making Cognigy capabilities available to external AI ecosystems) — replacing brittle connectors with a governed integration layer.

For enterprise teams, the Model Context Protocol (MCP) matters because real-world outcomes depend on how the capability is integrated, governed, and measured — not just on the underlying technology. Instead of building point-to-point integrations for each system an AI Agent needs to access, MCP provides a semantic layer: any MCP-compatible service can be discovered and used by any MCP-enabled agent.

## Key Points

- Open standard for universal AI Agent connectivity to tools, data sources, and services
- Replaces point-to-point integrations with a semantic discovery-and-connection layer
- Any MCP-compatible service is instantly available to any MCP-enabled AI Agent
- NiCE Cognigy operates as both MCP client and MCP server — a full ecosystem participant
- Adopted as a foundational architecture at NiCE Cognigy Nexus 2026

### See how it works in action

- [Watch the demo](https://www.youtube.com/watch?v=U87psHIQF3w)
- [Speak with an expert](/content/contact-us/index.html)
- [Explore Solutions](/content/solutions/ai-agents/index.html)
- [Explore Platform](/content/platform/cognigy-ai/index.html)