How to Use the Cloze MCP in CrewAI
Give your CrewAI agents direct, autonomous access to Cloze CRM data to manage contacts and track deals without human intervention.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Cloze MCP to CrewAI
Create your Vinkius account to connect Cloze 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.
Autonomous CRM Updates for CrewAI Agents
The `create_person` tool allows your agents to instantly build new contact profiles when researching leads. You don't have to copy and paste email addresses anymore. Your agents run `update_person` to keep existing records fresh whenever they uncover new phone numbers or social links during their runs. This MCP Server setup means your team of agents handles the boring data entry. They can query existing contacts using `get_person` to check for history before making any changes, keeping your database clean without manual oversight.
Smart Deal and Project Tracking
The `create_project` tool lets your agents spin up new deals, properties, or projects in Cloze automatically. When a deal progresses, a monitor agent can pull active deals with `list_projects` to evaluate progress and assign follow-up tasks to other agents. Instead of waiting for a human to update project stages, the agents handle it. They use `list_companies` to map contacts to their organizations, ensuring every new deal links to the right corporate entity.
Targeted Outreach and Tag-Based Segmentation
The `search_people_by_tag` tool gives your agents the power to segment lists of qualified leads instantly. This lets your marketing agents pull highly specific lists, read custom properties using `list_custom_fields`, and draft highly personalized messaging. Your CrewAI agents use this deep context to decide who gets emailed next. They query `list_people` to filter out inactive leads, ensuring your outreach campaigns only target active, high-value prospects.
Set up Cloze 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 Cloze tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Cloze Analyst",
goal="Access and analyze Cloze data via MCP.",
backstory="Expert analyst with direct Cloze access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Cloze 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="Cloze Analyst",
goal="Access and analyze Cloze data via MCP.",
backstory="Expert analyst with direct Cloze access.",
tools=mcp_tools,
)
task = Task(
description="List recent Cloze 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 Cloze. 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 Cloze MCP in CrewAI
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