How to Use the SmartLead MCP in CrewAI

Run autonomous, multi-agent SmartLead campaigns using CrewAI's collaboration engine.

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Connect SmartLead MCP to CrewAI

Create your Vinkius account to connect SmartLead to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup SmartLead with CrewAI

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Autonomous Lead Generation

Give a specialized agent the `add_lead` tool. The agent handles the entire process: it pulls leads, validates them, and then sends them to SmartLead without human input. It's fully autonomous. This setup lets you build automated operations where the goal is simply increasing the volume of validated contacts in your CRM.

Coordinated Campaign Management

You can assign one agent to `list_campaigns` and another to analyze the results using `get_campaign_analytics`. These agents collaborate: Agent A finds a target campaign, then passes its ID to Agent B for deep analysis. This role-based specialization means you're running coordinated operations, not just sequential commands.

Full Outreach Cycle Monitoring

The CrewAI framework lets an agent monitor the whole cycle. It can use `list_leads` to check current contacts and then determine if a campaign needs to be resumed using `resume_campaign`. This keeps operations running. It builds continuous monitoring, allowing your autonomous crew to react when a process falls behind schedule.

Setup guide

Set up SmartLead 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 SmartLead tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

CrewAI lets you assign different roles. One agent might specialize in reading `list_leads`, while a second specialized agent uses the `get_campaign` tool to draft content, executing the whole plan autonomously.

Yes. You can assign an 'Account Manager' agent whose sole job is to call `list_email_accounts` and ensure that no single campaign runs out of available sending endpoints.

You define the failure protocol. If Agent A detects an error while running `pause_campaign`, the moderator agent takes over and initiates a structured escalation process automatically.

Yes, it's built for that. The multiple tools allow you to define roles—Researcher (getting analytics), Executor (running campaigns), and Validator (checking lead counts).

The crew manages Leads, Campaigns, and Accounts. It uses these three datasets to perform its autonomous operations, ensuring that all parts of the outreach system are covered.

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