Aircall MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Aircall through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Aircall Assistant",
instructions=(
"You help users interact with Aircall. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Aircall"
)
print(result.final_output)
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 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Aircall through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Aircall, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Aircall MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Aircall
Why Use OpenAI Agents SDK with the Aircall MCP Server
OpenAI Agents SDK provides unique advantages when paired with Aircall through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Aircall + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Aircall MCP Server delivers measurable value.
Automated workflows: build agents that query Aircall, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Aircall, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Aircall tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Aircall to resolve tickets, look up records, and update statuses without human intervention
Aircall MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Aircall to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Aircall to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Aircall + OpenAI Agents SDK FAQ
Common questions about integrating Aircall MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Aircall with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Aircall to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
