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Placetel MCP Server for LangChainGive LangChain instant access to 10 tools to Get Group, Get Sip User, Get User, and more

Built by Vinkius GDPR 10 Tools Framework

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

python
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())
Placetel
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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_group

Get details for a specific group

get_sip_user

Get details for a specific SIP user

get_user

Get details for a specific user

list_call_detail_records

List Call Detail Records (CDRs)

list_calls

List active or recent calls

list_devices

List all devices

list_groups

List all Placetel groups

list_numbers

List all Placetel numbers

list_sip_users

List all Placetel SIP users

list_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.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 10 tools from Placetel via MCP

Why Use LangChain with the Placetel MCP Server

LangChain provides unique advantages when paired with Placetel through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Placetel MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

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.

01

RAG with live data: combine Placetel tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Placetel, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Placetel tools with web scrapers, databases, and calculators in a single agent run

04

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.

01

"List all devices in Placetel."

02

"Get call details from today."

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Placetel + LangChain FAQ

Common questions about integrating Placetel MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.