Infobip MCP Servers

Infobip MCP Server – Bringing Unified Communication to AI Agents

The Infobip MCP Servers solve a common pain point for developers building intelligent agents: the need to integrate with multiple communication channels and customer‑management services without wrestling through a fragmented set of REST APIs. By exposing a single, Model Context Protocol (MCP) endpoint for each channel and service, the server allows an AI assistant to issue high‑level actions—“send a WhatsApp message,” “start a 2FA flow,” or “activate a customer profile”—in natural language, while the underlying platform handles authentication, routing, and delivery guarantees. This abstraction eliminates boilerplate code and reduces the risk of misconfiguring channel settings or violating compliance requirements.

At its core, the server provides a collection of dedicated endpoints that map directly to Infobip’s robust messaging and identity infrastructure. The SMS, WhatsApp, Viber, and upcoming RCS endpoints let agents dispatch messages across the most popular consumer channels. The 2FA endpoint supports multi‑factor authentication flows, enabling agents to trigger secure verification steps without custom logic. The People and Account Management services expose CRUD operations for customer data and user accounts, giving agents the ability to maintain a consistent view of their contacts. Finally, the CPaaSX Applications and Entities endpoint allows agents to manage higher‑level application constructs within Infobip’s platform.

These capabilities translate into powerful real‑world use cases. A customer support bot can automatically send a WhatsApp confirmation after a purchase, while an onboarding agent can initiate a 2FA sequence before granting access to sensitive resources. Marketing teams can schedule SMS campaigns through an AI‑driven content generator, and compliance officers can audit customer data updates via the same interface. Because each endpoint follows the MCP specification, developers can integrate Infobip services into any AI workflow that supports remote MCP servers—whether it’s Claude, GPT‑based assistants, or custom in‑house agents.

Integration is straightforward: a developer configures the MCP client to point at and supplies an API key or OAuth 2.1 credentials in the header. For clients lacking native remote support, a lightweight STDIO bridge (e.g., ) can forward requests over the network, preserving the same contract. The server’s streamable HTTP transport and optional SSE support ensure that long‑running operations, such as message delivery status updates, can be handled efficiently.

What sets Infobip MCP Server apart is its production‑grade reliability combined with a unified, agent‑friendly interface. By consolidating multiple communication channels and data services under the MCP umbrella, it removes the friction of manual API integration, accelerates time‑to‑value for AI projects, and guarantees that agents can deliver messages securely and compliantly across any supported channel.