Vonage 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 Vonage 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 Vonage. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Vonage?"
)
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 Vonage MCP Server
Connect your Vonage account to any AI agent and power your global communications through natural conversation.
LlamaIndex agents combine Vonage 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
- Multi-Channel Messaging — Send outbound messages via SMS, WhatsApp Business, and Viber with ease
- 2FA & Verification — Start and check identity verification requests (OTP) to secure your user accounts
- Number Management — List all virtual phone numbers rented by your account and update their inbound webhooks
- Account Insights — Check your real-time account credit balance and monitor spending directly from your agent
- Global Pricing — Retrieve outbound SMS pricing for any country to estimate communication costs accurately
- Virtual Numbers — View caller ID capabilities (SMS, Voice) for all your rented virtual numbers
The Vonage 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 Vonage to LlamaIndex via MCP
Follow these steps to integrate the Vonage 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 Vonage
Why Use LlamaIndex with the Vonage MCP Server
LlamaIndex provides unique advantages when paired with Vonage through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Vonage tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Vonage tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Vonage, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Vonage tools were called, what data was returned, and how it influenced the final answer
Vonage + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Vonage MCP Server delivers measurable value.
Hybrid search: combine Vonage real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Vonage 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 Vonage for fresh data
Analytical workflows: chain Vonage queries with LlamaIndex's data connectors to build multi-source analytical reports
Vonage MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Vonage to LlamaIndex via MCP:
cancel_verification_request
Aborts an active verification request
check_verification_code
Checks the OTP code submitted by a user for an active verification request
get_account_balance
Retrieves the current Vonage account credit balance
get_country_pricing
Provide the ISO 3166-1 alpha-2 country code. Retrieves outbound SMS pricing for a specific country
list_rented_numbers
Lists all virtual phone numbers rented by the account
send_sms
Provide a sender name (alpha or number) and a target phone number in E.164 format. Sends an outbound SMS message via Vonage
send_viber_message
Provide your specific Viber Publisher ID. Sends a Viber service message via Vonage
send_whatsapp_message
Requires a verified WhatsApp Business Number as the sender. Sends a WhatsApp message via the Vonage Messages API
start_verification
Provide the target number and your brand name. Starts a 2FA identity verification by sending an OTP code
update_number_webhook
Requires the number in E.164 format. Updates the inbound SMS callback URL for a virtual number
Example Prompts for Vonage in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Vonage immediately.
"Send an SMS to +123456789 saying 'Your order is ready for pickup!'."
"Start a verification for number +123456789 with brand 'MyCoolApp'."
"What is my current account balance and the SMS price for the UK?"
Troubleshooting Vonage MCP Server with LlamaIndex
Common issues when connecting Vonage to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpVonage + LlamaIndex FAQ
Common questions about integrating Vonage 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 Vonage with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Vonage to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.