Placetel MCP Server for LangChainGive LangChain instant access to 10 tools to Get Group, Get Sip User, Get User, and more
LangChain is the leading Python framework for composable LLM applications. Connect Placetel 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 Placetel app connector for LangChain is a standout in the Communication Messaging category — giving your AI agent 10 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({
"placetel": {
"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 Placetel, 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 Placetel MCP Server
Placetel
The Placetel MCP Server allows AI agents to interact with your Placetel PBX data seamlessly.
LangChain's ecosystem of 500+ components combines seamlessly with Placetel through native MCP adapters. Connect 10 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
- Retrieve users, SIP users, and groups.
- Access phone numbers and routing plans.
- Manage devices and call detail records (CDRs).
The Placetel MCP Server exposes 10 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 10 Placetel tools available for LangChain
When LangChain connects to Placetel through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-pbx, sip-trunking, call-routing, 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 details for a specific group
Get details for a specific SIP user
Get details for a specific user
List Call Detail Records (CDRs)
List active or recent calls
List all devices
List all Placetel groups
List all Placetel numbers
List all Placetel SIP users
List all Placetel users
Connect Placetel to LangChain via MCP
Follow these steps to wire Placetel 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 Placetel MCP Server
LangChain provides unique advantages when paired with Placetel through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Placetel 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 Placetel queries for multi-turn workflows
Placetel + LangChain Use Cases
Practical scenarios where LangChain combined with the Placetel MCP Server delivers measurable value.
RAG with live data: combine Placetel tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Placetel, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Placetel tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Placetel tool call, measure latency, and optimize your agent's performance
Example Prompts for Placetel in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Placetel immediately.
"List all devices in Placetel."
"Get call details from today."
"List all users in my account."
Troubleshooting Placetel MCP Server with LangChain
Common issues when connecting Placetel to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPlacetel + LangChain FAQ
Common questions about integrating Placetel 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.