Telebroad MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Get Profile, Get Sms Messages, Hangup Call, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Telebroad 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 App Connector for LlamaIndex
The Telebroad app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Telebroad. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Telebroad?"
)
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 Telebroad MCP Server
Connect your Telebroad business communication account to any AI agent and simplify how you manage your phone system, SMS outreach, and digital faxes through natural conversation.
LlamaIndex agents combine Telebroad tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Call Management — Initiate voice calls, list active calls, and retrieve a complete history of incoming, outgoing, and missed calls.
- SMS Automation — List authorized SMS lines, query conversation threads, and send text messages directly via AI commands.
- Fax Handling — List received and sent faxes, and send PDF documents as digital faxes from your authorized lines.
- Team Coordination — Query the internal phone directory to find extensions and team member destinations.
- Profile Oversight — Retrieve detailed profile metadata including extensions, lines, and user settings.
- Operational Tracking — Monitor your cloud telephony and messaging activities in real-time.
The Telebroad MCP Server exposes 12 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.
All 12 Telebroad tools available for LlamaIndex
When LlamaIndex connects to Telebroad through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-pbx, business-phone, sms-outreach, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get the current Telebroad user profile
Get messages from a specific SMS conversation
Hang up an active call
List currently active calls
List call history logs
List faxes
List internal phone destinations (extensions)
List SMS conversations
List available SMS lines
Initiate a voice call
Send a fax
Send an SMS message
Connect Telebroad to LlamaIndex via MCP
Follow these steps to wire Telebroad into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Telebroad MCP Server
LlamaIndex provides unique advantages when paired with Telebroad through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Telebroad tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Telebroad tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Telebroad, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Telebroad tools were called, what data was returned, and how it influenced the final answer
Telebroad + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Telebroad MCP Server delivers measurable value.
Hybrid search: combine Telebroad real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Telebroad 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 Telebroad for fresh data
Analytical workflows: chain Telebroad queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Telebroad in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Telebroad immediately.
"Show me my recent call history."
"Send an SMS from my line +15550100 to +15550188: 'Meeting at 2 PM'."
"List all internal extensions in my company."
Troubleshooting Telebroad MCP Server with LlamaIndex
Common issues when connecting Telebroad to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTelebroad + LlamaIndex FAQ
Common questions about integrating Telebroad MCP Server with LlamaIndex.