About
The MCP Server implements the Model Context Protocol, enabling simple, efficient data exchange between client and server in distributed systems. It serves as a lightweight communication backbone for applications requiring fast, structured model synchronization.
Capabilities
Overview
Infobip MCP Servers bring the power of Infobip’s global communications platform directly into AI agents through the Model Context Protocol. By exposing a unified, HTTP‑based interface, these servers allow developers to let Claude or other assistants send SMS, WhatsApp, Viber, and RCS messages, run two‑factor authentication flows, manage customer data, and administer Infobip accounts—all without writing custom integration code. This eliminates the need to wrestle with Infobip’s REST APIs, authentication schemes, and channel‑specific quirks.
The core value lies in abstraction. An AI assistant can simply invoke a high‑level “send message” tool or “create 2FA session” action, and the MCP server translates that into the appropriate Infobip API call. The server handles authentication (API key or OAuth 2.1), payload validation, and response parsing, returning a clean JSON structure that the assistant can use to inform its next step. This streamlines rapid prototyping of customer‑facing workflows, such as onboarding bots that send verification codes or support agents that push updates via WhatsApp.
Key capabilities include:
- Multi‑channel messaging: SMS, WhatsApp, Viber, and RCS with a single endpoint per channel.
- Authentication flows: Built‑in 2FA support that can be triggered and verified by the assistant.
- Customer lifecycle management: Store, activate, and retrieve customer records through the “People” endpoint.
- Account administration: Create, update, and delete Infobip user accounts programmatically.
- Extensible entity handling: Manage CPaaSX applications and entities via dedicated endpoints.
Real‑world use cases span from automated appointment reminders that send SMS or WhatsApp notifications, to secure login experiences where the assistant initiates a 2FA challenge and validates user responses. Customer support bots can pull contact data from Infobip’s People store, update status flags, and push real‑time updates across multiple channels—all orchestrated by a single AI workflow.
Integration is straightforward for developers familiar with MCP. Each channel exposes a dedicated server URL (, , etc.), and the server supports streamable HTTP transport as defined by the MCP specification. For agents lacking native remote support, a STDIO bridge such as can forward requests locally while injecting the necessary Authorization header. The result is a plug‑and‑play component that fits neatly into existing AI pipelines, reduces boilerplate code, and guarantees consistent behavior across all Infobip channels.
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