How to Use the MakePlans MCP in CrewAI
Run autonomous multi-agent scheduling teams using CrewAI and MakePlans.
Works with every AI agent you already use
…and any MCP-compatible client
Connect MakePlans MCP to CrewAI
Create your Vinkius account to connect MakePlans 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.
Collaborative booking management via MCP Server
`list_bookings` lets your CrewAI agents audit existing schedules to spot conflicts or double-bookings. One specialized agent can pull the booking list, while another analyzes it to optimize staff schedules. This cooperative approach ensures that your calendar remains clean. The agents pass structured data among themselves, allowing them to resolve scheduling issues without human supervision.
Dedicated staff assignment and lookup
`list_people` retrieves your staff list so your CrewAI agents can match the right person to each new appointment. The research agent identifies the best qualified staff member, and the coordinator agent assigns them to the slot. By using get_resource alongside staff lists, the crew ensures that both the human specialist and the required physical room are reserved at the exact same time. This prevents logistics bottlenecks before they happen.
Autonomous cancellation and rescheduling
`delete_booking` removes appointments when a CrewAI agent detects a cancellation request in your customer support channel. The agent parses the request, finds the correct booking ID, and deletes the slot. After deletion, a secondary agent can run list_available_slots to immediately offer the newly opened time to waitlisted clients. This automated loop keeps your calendar full and maximizes revenue.
Set up MakePlans 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 MakePlans tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="MakePlans Analyst",
goal="Access and analyze MakePlans data via MCP.",
backstory="Expert analyst with direct MakePlans access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent MakePlans 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="MakePlans Analyst",
goal="Access and analyze MakePlans data via MCP.",
backstory="Expert analyst with direct MakePlans access.",
tools=mcp_tools,
)
task = Task(
description="List recent MakePlans 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 MakePlans. 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.
Why Choose Vinkius
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Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about MakePlans MCP in CrewAI
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