How to Use the HappierLeads MCP in CrewAI

Q: Can CrewAI agents search for specific website visitors via HappierLeads?

Yes. Your researcher agent can invoke searchvisitors using natural language queries to find specific companies that visited your site.

Deploy a collaborative team of sales agents using CrewAI and the HappierLeads MCP Server.

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Connect HappierLeads MCP to CrewAI

Create your Vinkius account to connect HappierLeads 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 HappierLeads with CrewAI

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Run specialized sales crews with this MCP Server

CrewAI works best when you divide labor. Assign one researcher agent to poll `list_visitors` to identify corporate domains landing on your site. Have a separate qualifying agent analyze the results using `list_qualified_leads` to determine if they match your buyer persona. The agents share context dynamically to keep the pipeline moving.

Analyze visitor behavior with multi-agent coordination

Let your analyzer agent review exact visitor paths. It can call `list_page_views` to see which features the company spent the most time reading. Once analyzed, the agent hands off to a writer agent who uses `get_lead` to grab the decision-maker's contact info. The writer then drafts a highly personalized outbound pitch based on those specific page views.

Filter prospects by industry automatically

Direct your agents to focus on specific markets. A specialized industry agent can run `list_leads_by_industry` to isolate high-value sectors like software or finance. This target list is passed to your outreach agent, who uses `get_visitor` to extract deep company profiles. No human needs to copy-paste data between tools.

Setup guide

Set up HappierLeads 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 HappierLeads tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent HappierLeads 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="HappierLeads Analyst",
        goal="Access and analyze HappierLeads data via MCP.",
        backstory="Expert analyst with direct HappierLeads access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent HappierLeads 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 HappierLeads. 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 HappierLeads MCP in CrewAI

Pass the HappierLeads MCP Server endpoint URL directly to your CrewAI agents using the `mcps` parameter. The framework automatically registers all 17 tools for your agents to use.

Yes. Your researcher agent can invoke `search_visitors` using natural language queries to find specific companies that visited your site.

CrewAI agents use a shared memory system. When one agent gets lead details via `get_lead`, that data is instantly accessible to other agents in the crew.

Yes. You can use the MCP tool filter configuration in CrewAI to expose only specific tools, like `list_qualified_leads`, while hiding administrative tools.

All lead contact details are handled within the secure Vinkius runtime. CrewAI processes the data locally in your environment, and your API keys are never exposed to the LLM.

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