How do I find my Aircall API ID and Token?

Log in to your Aircall Dashboard, navigate to **Integrations & API** > **API keys**, and create a new key. You will see both the `api_id` and `api_token` there.

Can I listen to call recordings via the agent?

The `get_call_details` tool provides the URL to the call recording if available. Your agent can retrieve this metadata, and you can access the link to listen to the audio.

Does this support checking user availability?

Yes! Use the `get_user_details` tool. It returns the current availability status (Available, Busy, or Offline) for any team member in your account.

Aircall MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Aircall
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Aircall through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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({
        "aircall": {
            "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 Aircall, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Aircall MCP Server

Connect your Aircall account to your AI agent to unlock professional voice orchestration and communication management. From auditing call logs and recordings to managing shared contacts and monitoring team availability, your agent handles your phone system through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Aircall 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

Call Orchestration — List and retrieve details for calls, including recordings, durations, and participant metadata
Contact Management — Create, update, and search for shared or private contacts within your Aircall account
Team Oversight — List users and teams to check availability statuses and departmental assignments
Number Auditing — Retrieve details for your Aircall phone numbers, including their technical configurations
Communication Insights — Quickly identify call trends or lookup contact history directly from your chat interface

The Aircall 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.

How to Connect Aircall to LangChain via MCP

Follow these steps to integrate the Aircall MCP Server with LangChain.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Aircall via MCP

Why Use LangChain with the Aircall MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Aircall 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 Aircall queries for multi-turn workflows

Aircall + LangChain Use Cases

Practical scenarios where LangChain combined with the Aircall MCP Server delivers measurable value.

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

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

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

Production monitoring: use LangSmith to trace every Aircall tool call, measure latency, and optimize your agent's performance

Aircall MCP Tools for LangChain (10)

These 10 tools become available when you connect Aircall to LangChain via MCP:

create_contact

Add a new contact

get_call_details

Get call technical details

get_number_details

Get number configuration

get_user_details

Get user availability

list_calls

List call logs

list_contacts

List Aircall contacts

list_numbers

List phone numbers

list_teams

List Aircall teams

list_users

List team members

search_contacts

Search contacts by phone

Example Prompts for Aircall in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Aircall immediately.

"List the last 10 calls made by my team."

"Search for a contact with name 'John Doe'."

"Check if user 'Jane Smith' is currently available for calls."

Troubleshooting Aircall MCP Server with LangChain

Common issues when connecting Aircall to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Aircall + LangChain FAQ

Common questions about integrating Aircall MCP Server with LangChain.

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.

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.