How to Use the MakePlans MCP in CrewAI
Deploy a crew of AI agents with CrewAI to autonomously manage your entire MakePlans booking operation, from intake to reporting.
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.
Assemble a Dedicated Booking Crew
This MCP server gives your CrewAI agents the tools to manage a complete booking system. You can create a 'Client Intake Agent' whose only job is to use the `create_new_customer` tool. It then passes the new customer ID to a 'Scheduling Agent' that uses `find_available_slots` and `create_new_appointment` to book the meeting. This role-based specialization is what makes CrewAI powerful. Each agent focuses on one part of the problem—onboarding, scheduling, or confirming—and hands off the work. The MakePlans tools are the specific actions they can take to get their jobs done.
Build an Autonomous Auditing Team
Assign a 'Reporting Agent' the task of running `list_appointments` and `list_customers` on a daily schedule. It can pass this raw data to an 'Analyst Agent' that looks for patterns, like which services are most popular or which customers book most often. The crew works together without human intervention. The Reporting Agent gathers the facts using the MakePlans tools, and the Analyst Agent provides insights. It’s a simple way to build an automated business intelligence function for your operations.
Let Your CrewAI Agents Manage Resources
Create an 'Operations Agent' that periodically uses `list_booking_resources` to check the availability of staff or rooms. If it detects an underutilized resource, it can delegate a task to a 'Marketing Agent' to promote services associated with that resource. This shows how a team of agents can do more than just execute tasks; they can monitor, analyze, and act. This MCP server provides the core operational tools, and CrewAI provides the framework for autonomous collaboration.
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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
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
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the MakePlans MCP today
We host it, we monitor it, we maintain it. You just paste one token.