Telebroad MCP Server for LangChainGive LangChain instant access to 12 tools to Get Profile, Get Sms Messages, Hangup Call, and more
LangChain is the leading Python framework for composable LLM applications. Connect Telebroad through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The Telebroad app connector for LangChain 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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"telebroad": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Telebroad, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Telebroad through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 LangChain via MCP
Follow these steps to wire Telebroad into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Telebroad MCP Server
LangChain provides unique advantages when paired with Telebroad through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Telebroad MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Telebroad queries for multi-turn workflows
Telebroad + LangChain Use Cases
Practical scenarios where LangChain combined with the Telebroad MCP Server delivers measurable value.
RAG with live data: combine Telebroad tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Telebroad, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Telebroad tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Telebroad tool call, measure latency, and optimize your agent's performance
Example Prompts for Telebroad in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Telebroad to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTelebroad + LangChain FAQ
Common questions about integrating Telebroad MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.