MCP
Model Context Protocol — an open protocol through which AI applications can use server-exposed tools, resources, and prompts.
MCP — Model Context Protocol — is an open protocol for exposing tools, resources, and contextual capabilities to an AI application. An eqlx system may use MCP-compatible servers where they fit the customer's stack, authorization model, and operating boundary. MCP is optional; an agentic system does not require it merely because it contains an agent.
Protocol is not policy
MCP defines how clients and servers exchange capabilities; it does not decide which business action should be allowed. Stable validation, authorization, rate-limit handling, and domain rules should live in deterministic application or server logic. Model judgment is reserved for decisions that genuinely require it and is still bounded by those controls.
How the interface is selected
The required capability and operating boundary determine whether an existing MCP server, a direct API integration, or another connector shape is appropriate. Any custom connector included in scope is documented with its permissions, schemas, error behavior, and handoff terms.
What the customer reads
An MCP server describes the inputs and outputs of the capabilities it exposes. The client-server contract, supported protocol revision, authorization boundary, and error behavior should be versioned and tested. A vendor API change may still require server and integration updates; MCP reduces coupling but does not remove it.
Often confused with
How it differs from similar terms.
| MCP | Compared with | What's different |
|---|---|---|
| MCP server | Direct API integration | An MCP server exposes protocol-defined capabilities to compatible clients. A direct integration uses the underlying API without the MCP client-server layer. |
| MCP server | Webhook | An MCP server can expose tools, resources, and prompts through request-response protocol operations. A webhook usually pushes an event to a configured endpoint. |
| MCP | integration platform as a service (iPaaS) | MCP standardizes an AI application's connection to contextual capabilities. An iPaaS is a broader integration product for moving data and coordinating applications. |
Want these terms worked through on one of your own decisions? Start with a Decision Blueprint