How to Use the AI Receptionist MCP in CrewAI

Q: How do I add the AI Receptionist tools to a CrewAI agent?

Install the package using pip install crewai "crewaitools". Then, pass your Vinkius MCP URL directly into the agent's mcps list parameter during initialization.

Q: How does CrewAI handle complex scheduling conflicts with AI Receptionist?

Your agents can use listaireceptionistbookings to verify existing slots, resolve conflicts autonomously, and then call createaireceptionistbooking to write the clean data back.

Q: Can I restrict which receptionist tools my CrewAI agents can access?

Yes, you can use MCPServerHTTP along with a toolfilter to expose only specific tools, like preventing a research agent from accessing booking modifications.

Q: How does CrewAI ensure the privacy of our AI Receptionist customer profiles?

When your agents fetch profile data via getaireceptionistme, the credentials and customer info are processed in zero-trust, ephemeral MCP sandboxes. Vinkius never logs or caches these sensitive payloads.

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Connect AI Receptionist MCP to CrewAI

Create your Vinkius account to connect AI Receptionist 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.

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Setup AI Receptionist with CrewAI

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Divide receptionist tasks using CrewAI MCP Server

The `list_aireceptionist_conversations` tool lets your monitoring agent track active customer calls. With this MCP Server, you can assign one agent to monitor incoming queries while another agent processes the actual bookings using `create_aireceptionist_booking`. They share memory and context to keep the customer journey smooth. Your booking agent checks active slots with `list_aireceptionist_bookings` before confirming anything, preventing double-bookings and scheduling conflicts.

Audit receptionist calls autonomously

The `get_aireceptionist_conversation` tool allows a quality control agent to pull finished transcripts for sentiment analysis. Set up a quality control agent that reviews finished calls to ensure your brand voice is maintained. If the agent detects an unhappy caller, it immediately triggers an escalation workflow. It can pull the user profile using `get_aireceptionist_me` to find the right account manager and alert them.

Keep your receptionist smart and updated

The `list_aireceptionist_knowledge` tool lets a research agent check what information the receptionist currently has access to. Let your research agent update the receptionist's brain autonomously by reading your internal docs and flagging outdated information. Meanwhile, a technical monitor agent can verify that your integrations are alive. It calls `list_aireceptionist_webhooks` to ensure booking notifications are flowing to your external messaging channels.

Setup guide

Set up AI Receptionist MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke AI Receptionist tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="AI Receptionist Analyst",
    goal="Access and analyze AI Receptionist data via MCP.",
    backstory="Expert analyst with direct AI Receptionist access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent AI Receptionist transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="AI Receptionist Analyst",
        goal="Access and analyze AI Receptionist data via MCP.",
        backstory="Expert analyst with direct AI Receptionist access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent AI Receptionist transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AI Receptionist. 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 AI Receptionist MCP in CrewAI

Install the package using pip install crewai "crewai[tools]". Then, pass your Vinkius MCP URL directly into the agent's mcps list parameter during initialization.

Yes, CrewAI's hierarchical execution allows different agents to share access to tools like create_aireceptionist_booking and coordinate their scheduling tasks.

Your agents can use list_aireceptionist_bookings to verify existing slots, resolve conflicts autonomously, and then call create_aireceptionist_booking to write the clean data back.

Yes, you can use MCPServerHTTP along with a tool_filter to expose only specific tools, like preventing a research agent from accessing booking modifications.

When your agents fetch profile data via get_aireceptionist_me, the credentials and customer info are processed in zero-trust, ephemeral MCP sandboxes. Vinkius never logs or caches these sensitive payloads.

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