Infobip (Omnichannel Communications) MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Infobip (Omnichannel Communications) as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Infobip (Omnichannel Communications). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Infobip (Omnichannel Communications)?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Infobip (Omnichannel Communications) MCP Server
Connect your Infobip account to any AI agent and take full control of your global communications and customer engagement through natural conversation.
LlamaIndex agents combine Infobip (Omnichannel Communications) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Omnichannel Messaging — Send high-priority SMS, WhatsApp Business messages, and HTML emails directly from your agent to international destinations securely
- Delivery Intelligence — Track real-time delivery reports and inspect deep proxy logs to ensure your messages reach terminal carriers accurately
- Customer CDP — Manage audience profiles in Infobip People, including creating, updating, and retrieving detailed nested traits for personalized engagement
- Compliance & GDPR — Execute irreversible data erasure requests for specific CDP profiles to maintain privacy regulations and clean communication queues
- Activity Audit — Enumerate recently sent messages and retrieve cost reports to monitor your communication spending and channel performance
- WhatsApp Business — Dispatch verified WhatsApp messages using session parameters and omnichannel arrays for professional customer support
The Infobip (Omnichannel Communications) MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Infobip (Omnichannel Communications) to LlamaIndex via MCP
Follow these steps to integrate the Infobip (Omnichannel Communications) MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Infobip (Omnichannel Communications)
Why Use LlamaIndex with the Infobip (Omnichannel Communications) MCP Server
LlamaIndex provides unique advantages when paired with Infobip (Omnichannel Communications) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Infobip (Omnichannel Communications) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Infobip (Omnichannel Communications) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Infobip (Omnichannel Communications), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Infobip (Omnichannel Communications) tools were called, what data was returned, and how it influenced the final answer
Infobip (Omnichannel Communications) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Infobip (Omnichannel Communications) MCP Server delivers measurable value.
Hybrid search: combine Infobip (Omnichannel Communications) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Infobip (Omnichannel Communications) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Infobip (Omnichannel Communications) for fresh data
Analytical workflows: chain Infobip (Omnichannel Communications) queries with LlamaIndex's data connectors to build multi-source analytical reports
Infobip (Omnichannel Communications) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Infobip (Omnichannel Communications) to LlamaIndex via MCP:
delete_crm_person
Irreversibly vaporize explicit CDP profiles securing GDPR deletes natively
dispatch_html_email
Perform structural extraction of properties spanning the Infobip Email API
dispatch_sms_message
164 parameters executing international drops securely. Provision a highly-available JSON Payload routing natively into Infobip SMS
dispatch_whatsapp_message
Identify bounded routing spaces converting JSON texts towards Meta Whatsapp APIs
get_delivery_reports
Inspect deep internal metrics tracking global SMS handoffs
get_person_details
Retrieve the exact structural matching verifying InfoBip Person arrays
list_crm_people
Enumerate explicitly attached structured profiles identifying entire Audiences
list_sms_logs
Retrieve explicit Cloud logging tracing sent SMS bounds over past days
update_person_name
Mutate global Web CRM parameters modifying explicit People identifiers
upsert_crm_person
164 bindings tracking real UUID attributes natively establishing marketing profiles inherently. Bootstrap an entirely empty structural Contact vector inside People CDP
Example Prompts for Infobip (Omnichannel Communications) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Infobip (Omnichannel Communications) immediately.
"Send an SMS to +123456789: 'Your verification code is 5544'"
"List all people in our CDP with the first name 'Alex'"
"Show me the delivery reports for today's SMS campaign"
Troubleshooting Infobip (Omnichannel Communications) MCP Server with LlamaIndex
Common issues when connecting Infobip (Omnichannel Communications) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpInfobip (Omnichannel Communications) + LlamaIndex FAQ
Common questions about integrating Infobip (Omnichannel Communications) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Infobip (Omnichannel Communications) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Infobip (Omnichannel Communications) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.