How to Use the Clientify MCP in CrewAI
Assemble a crew of AI agents to manage your Clientify CRM with CrewAI. Automate research, analysis, and reporting.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Clientify MCP to CrewAI
Create your Vinkius account to connect Clientify 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 Specialized Sales Crew
Assign roles to your agents. One agent, the 'Researcher,' can use `list_clientify_companies` and `list_clientify_contacts` to gather raw data. A second 'Analyst' agent then takes that data to find patterns using `list_crm_activities`. CrewAI lets these agents share their findings. The Analyst can pass a list of high-priority deals to a 'Reporter' agent, which then uses `get_deal_details` to assemble a summary. Each agent does one job well.
Monitor Your Sales Pipeline Autonomously
Set up a crew to watch your pipeline 24/7. An agent can run `list_sales_deals` on a schedule. If it finds a deal that's been stuck in one stage of a pipeline from `list_sales_pipelines` for too long, it can pass it to another agent. That second agent can then escalate the issue. It might use `get_contact_crm_details` to find the owner and then trigger an external notification. You're not just fetching data; you're building a system that acts on it with this MCP Server.
Run Deep Audits and Data Cleanup
Data hygiene is a classic CrewAI task. Assign an agent to periodically run `list_clientify_contacts` and look for incomplete records. It passes these records to a 'Fixer' agent. The Fixer agent can then try to find the missing information from other sources or simply flag the contact for human review. It's a simple, powerful way to keep your Clientify data clean without manual effort.
Set up Clientify 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 Clientify tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Clientify Analyst",
goal="Access and analyze Clientify data via MCP.",
backstory="Expert analyst with direct Clientify access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Clientify 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="Clientify Analyst",
goal="Access and analyze Clientify data via MCP.",
backstory="Expert analyst with direct Clientify access.",
tools=mcp_tools,
)
task = Task(
description="List recent Clientify 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 Clientify. 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.
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One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Clientify MCP in CrewAI
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