How to Use the Clientjoy MCP in CrewAI

Q: How do I assign Clientjoy tools to a specific CrewAI agent?

You pass your Vinkius MCP URL directly in the agent's mcps list. This gives that specific agent access to tools like listleads while keeping other agents focused on non-CRM tasks.

Q: Can a CrewAI team autonomously draft and verify Clientjoy proposals?

Yes. You can set up a sequential crew where one agent uses listsalesproposals to find drafts, and a second agent uses listserviceitems to verify the pricing before sending.

Q: How do I filter Clientjoy tools on the CrewAI MCP Server?

Use the MCPServerHTTP class from crewai.mcp and apply a toolfilter to restrict access to listbillinginvoices.

Deploy a collaborative crew of agents to manage Clientjoy leads, proposals, and invoices autonomously in CrewAI.

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Connect Clientjoy MCP to CrewAI

Create your Vinkius account to connect Clientjoy 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.

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Setup Clientjoy with CrewAI

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Multi-agent sales pipelines in CrewAI

`list_leads` pulls your active sales pipeline into a shared memory space where specialized agents can analyze them. CrewAI assigns a researcher agent to qualify the leads and a writer agent to draft custom pitches. Once qualified, a closer agent uses `create_new_lead` to update status tags or move prospects to the next stage. This team setup keeps your sales pipeline moving without manual data entry.

Autonomous invoice auditing

`list_billing_invoices` exposes your financial data to a dedicated auditor agent in your crew. This agent works alongside a billing coordinator agent to cross-reference outstanding balances against your client roster. The crew uses `list_service_items` to verify that the line items on overdue invoices match your standard pricing. If they find an error, they flag the account and draft a correction notice automatically.

Collaborative proposal management with this MCP Server

`list_sales_proposals` allows your proposal manager agent to track which contracts are pending review. A separate negotiator agent analyzes the terms and compares them to previous customer histories fetched via `get_customer_details`. By sharing context across agents, the crew determines if a proposal needs adjustment. The agents coordinate their findings and compile a daily digest of contracts that are ready for your signature.

Setup guide

Set up Clientjoy MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Clientjoy tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Clientjoy Analyst",
    goal="Access and analyze Clientjoy data via MCP.",
    backstory="Expert analyst with direct Clientjoy access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Clientjoy transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Clientjoy Analyst",
        goal="Access and analyze Clientjoy data via MCP.",
        backstory="Expert analyst with direct Clientjoy access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Clientjoy transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Clientjoy. 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 Clientjoy MCP in CrewAI

You pass your Vinkius MCP URL directly in the agent's `mcps` list. This gives that specific agent access to tools like `list_leads` while keeping other agents focused on non-CRM tasks.

Yes. You can set up a sequential crew where one agent uses `list_sales_proposals` to find drafts, and a second agent uses `list_service_items` to verify the pricing before sending.

Use the `MCPServerHTTP` class from `crewai.mcp` and apply a `tool_filter` to restrict access to `list_billing_invoices`.

Yes, CrewAI allows a manager agent to coordinate the workflow. The manager delegates tasks like fetching customer details to subordinate agents based on the current workload.

Absolutely. All data transactions occur over encrypted transport, and Vinkius processes your CRM records in a zero-trust environment. No lead details or invoice histories are ever cached or used for model training.

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