Software
Cohere Introduces Model Context Protocol for Enterprise AI Integration
Cohere's Model Context Protocol (MCP) provides a standard for connecting AI applications to enterprise systems, enabling secure and scalable integration.
Image: Cohere
Cohere's Model Context Protocol (MCP) is an open standard that allows AI applications to access data and perform defined actions across external systems such as databases, document repositories, and workflow platforms. MCP operates as a protocol within the application and integration layer of the AI stack, reducing the need for separate integrations between AI applications and business systems. This makes MCP particularly relevant as organizations transition from isolated AI pilots to applications that require interaction with live enterprise systems. By providing a common way to structure these integrations, MCP can make AI applications easier to extend, maintain, and adapt as enterprise needs evolve. The protocol uses a client-server architecture, where the AI application acts as the host, and MCP clients connect to MCP servers to access contextual information, tools, and prompts. MCP servers expose resources, tools, and prompts that AI applications can use to perform tasks requiring external context or action. *Source: [cohere](https://cohere.com/blog/guide-to-mcp)*
Key points
- Cohere's Model Context Protocol (MCP) is an open standard that helps AI applications access data and perform defined actions across external systems.
- MCP is not itself a model, agent, or database. It is a protocol that sits in the application and integration layer of the AI stack.
- MCP operates through a client-server architecture involving hosts, clients, servers, and transport mechanisms.
- MCP servers can expose three main types of features: Resources, Tools, and Prompts.
- MCP can make it easier for AI applications to connect to enterprise systems, but it does not make those connections secure by default.
- Enterprise teams should pay particular attention to access control, authentication and authorization, server trust, tool and action safety, logging and monitoring, and deployment and maintenance.