How to Use the Aircall MCP in CrewAI
Deploy autonomous CrewAI teams to monitor Aircall logs, analyze call quality, and manage contact routing.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Aircall MCP to CrewAI
Create your Vinkius account to connect Aircall to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Assign Aircall tasks to specialized agents
Build a CrewAI setup where a Monitor Agent constantly polls `list_calls` to watch for dropped connections across your phone system. Don't force one AI to manage your entire operation. When it finds a bad call, it hands the record off to an Analyst Agent that digs into the metrics using `get_call_details`. This separation of duties makes your autonomous operations highly predictable. You just pass the Vinkius URL directly into the arrays of your agent definition. CrewAI handles the HTTP transport natively, giving your specialized agents immediate access to the Aircall MCP Server.
Automate contact directory maintenance
Spin up a maintenance crew that runs `list_contacts` sequentially to clean up your stale phone directories. The first agent pulls your current roster, while the second agent cross-references those numbers against external CRM data. If a number is missing, the execution agent fires `create_contact` to update the system. You can even use the `tool_filter` in `MCPServerHTTP` to restrict the creation tool to a specific manager agent, preventing lower-level agents from modifying your production directory.
Map team availability autonomously
Execute `list_teams` with a routing agent to find the right department when a high-priority customer calls. You need to know who is free right now. The agent immediately runs `get_user_details` to check which specific users are currently available to pick up the phone. The crew shares this availability data in its shared memory. If the primary support team is busy, the hierarchical execution engine automatically escalates to a backup team, pulling their phone configuration via `get_number_details` to route the MCP integration properly.
Set up Aircall MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Aircall tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Aircall Analyst",
goal="Access and analyze Aircall data via MCP.",
backstory="Expert analyst with direct Aircall access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Aircall transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Aircall Analyst",
goal="Access and analyze Aircall data via MCP.",
backstory="Expert analyst with direct Aircall access.",
tools=mcp_tools,
)
task = Task(
description="List recent Aircall transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Aircall. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Aircall MCP in CrewAI
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