How to Use the Close MCP in CrewAI
Deploy an autonomous sales team for Close. Use CrewAI to have multiple agents collaborate on managing your leads and opportunities.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Close MCP to CrewAI
Create your Vinkius account to connect Close 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.
Create a Pipeline Monitoring Crew
Assign a crew of agents to watch your sales pipeline 24/7. One agent can act as a spotter, looking for problems, while another acts as an analyst, digging into the details. It's autonomous oversight for your sales process. Give your 'Monitor' agent the `list_opportunities` tool to scan for deals that haven't been updated recently. When it finds one, it passes the lead ID to an 'Analyst' agent. That agent then uses `get_lead_details` to pull all available information and flag it for a human sales rep.
Automate Lead Qualification with an Agent Crew
Set up a crew to handle new leads as they come in. This frees up your sales team to focus on selling, not data entry. One agent can create the lead, and another can verify it's been processed correctly. An 'Ingestion' agent's only job is to receive data and use the `create_lead` tool. Once done, a 'QA' agent can use `list_leads` with a filter to confirm the new lead appears in Close as expected. This separation of duties makes your automation cleaner.
Build a CrewAI Sales Reporting Team
Let a team of agents prepare your weekly sales reports. An 'Extractor' agent can pull all the raw numbers, and an 'Analyst' agent can process them. The whole process runs without you lifting a finger. This MCP Server gives your agents the tools they need. The Extractor agent would use `list_leads` and `list_opportunities` to get everything from Close. It then hands that raw data to the Analyst agent, which can summarize trends, identify top performers, and format a report.
Set up Close 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 Close tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Close Analyst",
goal="Access and analyze Close data via MCP.",
backstory="Expert analyst with direct Close access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Close 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="Close Analyst",
goal="Access and analyze Close data via MCP.",
backstory="Expert analyst with direct Close access.",
tools=mcp_tools,
)
task = Task(
description="List recent Close 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 Close. 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 Close MCP in CrewAI
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