How to Use the Lusha MCP in CrewAI

Equip your CrewAI agent teams with the Lusha MCP Server to automate deep B2B prospecting without human intervention.

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Connect Lusha MCP to CrewAI

Create your Vinkius account to connect Lusha 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 Lusha with CrewAI

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Multi-agent prospecting with the MCP Server

The `search_contacts` tool allows your research agent to find qualified prospects matching specific industry criteria. Once found, the agent hands the list to a writer agent for personalized outreach. CrewAI coordinates this handoff using shared memory. The writer agent reads the search output directly, ensuring no details are lost between steps.

Automated LinkedIn profile resolution

Resolving social profiles into direct phone numbers and emails is done via the `find_by_linkedin` tool. A specialized researcher agent handles this lookup whenever a new profile URL enters your queue. This setup completely gets rid of manual copy-pasting. Your crew processes social feeds, extracts URLs, and appends verified contact details autonomously.

Multi-agent credit guardrails

The `get_credits` tool gives your moderator agent visibility into your active Lusha balance. Checking this balance before allowing the research crew to run massive search queries prevents budget overruns. If the balance is too low, the moderator pauses the execution. This prevents runaway loops from draining your API budget on low-priority tasks.

Setup guide

Set up Lusha 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 Lusha tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your Vinkius HTTP URL directly into the agent's server array parameter during initialization. CrewAI automatically discovers and registers all six Lusha tools.

Yes, use the HTTP server class from the CrewAI package and apply a tool filter. This ensures only your data-enrichment agent can run bulk operations.

The agent uses its internal reasoning loop to handle empty responses. If a domain lookup fails, the agent tries searching by company name instead.

Yes, CrewAI runs multiple agents concurrently. One agent can query contact details while another checks different profiles, maximizing output speed.

All retrieved B2B phone numbers remain strictly in your local memory space. The ephemeral MCP Server functions purely as an encrypted tunnel, leaving zero data footprints on the hosting infrastructure.

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