# Infobip

> Use this tool when you need to integrate SMS messaging into conversational AI agents across multiple frameworks and programming languages. It solves the problem of sending SMS messages through the Infobip platform, providing working examples for various AI frameworks, including OpenAI, Semantic Kernel, and LangGraph. With inputs including API keys and message content, and outputs of successfully sent SMS messages, it streamlines the development process for AI applications requiring SMS capabilities.

Canonical page: https://skillsregistry.net/skills/infobip  
JSON: https://api.skillsregistry.net/v1/skills/infobip

## Description

Collection of example client implementations demonstrating how to integrate Infobip's SMS MCP server across multiple AI frameworks and programming languages. Includes working examples for OpenAI Agents SDK (Python and JavaScript), Semantic Kernel (Python and C#), LangGraph SDK, and Spring AI (Java), each showcasing how to build conversational AI agents that can send SMS messages through the Infobip platform. The examples provide complete setup instructions, environment configuration, and ready-to-run code for developers looking to integrate SMS capabilities into their AI applications using their preferred framework and language.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/infobip)
- **Repository:** <https://github.com/infobip/mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "infobip"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/infobip` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/infobip/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt