Telnyx 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 Telnyx as an MCP tool provider through 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 Telnyx. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Telnyx?"
)
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 Telnyx MCP Server
Connect your Telnyx account to any AI agent and manage your voice and messaging operations directly through natural conversation.
LlamaIndex agents combine Telnyx tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through 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
- Send Messages — Dispatch SMS and MMS texts, including media URLs, across your numbers in real-time
- Check Delivery Status — Look up message details and verify whether texts were successfully delivered or rejected
- Manage Phone Numbers — Browse your active E.164 phone numbers and retrieve configuration details
- Messaging Profiles — Create, update, list, and delete messaging profiles for your applications
- Account Billing — Monitor your exact account balance and available credits before dispatching campaigns
The Telnyx 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 Telnyx to LlamaIndex via MCP
Follow these steps to integrate the Telnyx 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 Telnyx
Why Use LlamaIndex with the Telnyx MCP Server
LlamaIndex provides unique advantages when paired with Telnyx through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Telnyx tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Telnyx tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Telnyx, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Telnyx tools were called, what data was returned, and how it influenced the final answer
Telnyx + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Telnyx MCP Server delivers measurable value.
Hybrid search: combine Telnyx real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Telnyx 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 Telnyx for fresh data
Analytical workflows: chain Telnyx queries with LlamaIndex's data connectors to build multi-source analytical reports
Telnyx MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Telnyx to LlamaIndex via MCP:
create_messaging_profile
Creates a new messaging profile
delete_messaging_profile
This action is irreversible. Permanently deletes a messaging profile
get_account_balance
Retrieves the current Telnyx account credit balance
get_message_details
Retrieves details and delivery status for a specific message
get_messaging_profile_details
Retrieves details for a specific messaging profile
get_number_settings
Retrieves configuration and capability details for a specific phone number
list_messaging_profiles
Lists all messaging profiles in the account
list_phone_numbers
164 numbers and retrieve their unique IDs. Lists all phone numbers owned by the account
send_media_message
Provide from/to numbers and a 100% public JPEG/PNG URL. Sends an outbound MMS message with a media URL
send_text_message
Provide a registered Telnyx from_number and a target to_number in E.164 format. Sends an outbound SMS message via Telnyx
Example Prompts for Telnyx in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Telnyx immediately.
"What is my current Telnyx account balance?"
"List all the phone numbers I currently own and their IDs."
"Send a text message from +14155552671 to +12125550999 saying that the server is down."
Troubleshooting Telnyx MCP Server with LlamaIndex
Common issues when connecting Telnyx to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTelnyx + LlamaIndex FAQ
Common questions about integrating Telnyx 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 Telnyx 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 Telnyx to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.