How to Use the LeadsRx MCP in CrewAI

Deploy a CrewAI team to monitor your marketing attribution with LeadsRx.

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Connect LeadsRx MCP to CrewAI

Create your Vinkius account to connect LeadsRx 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 LeadsRx with CrewAI

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Collaborative attribution tracking in CrewAI

Assign a research agent to call `list_campaigns` and `list_channels` for your team. This data is shared across the crew so your analysts work from the same source. Your team avoids conflicting reports by having a single agent manage the data collection. It keeps your operations focused on the actual performance metrics.

Automated conversion reporting for CrewAI

Create a crew where one agent collects data via `list_conversions` while another summarizes the results. This allows for automated, multi-step reporting cycles. Your agents can even use `get_conversion_details` to verify anomalies before escalating them to you. It turns your raw logs into actionable insights without manual effort.

Specialized agent roles for LeadsRx tools

Filter tool access so your 'Auditor' agent only uses `get_touchpoint_details`. This limits the scope of each crew member, keeping your operation organized. By restricting `add_conversion` to a 'Manager' agent, you keep write access secure. This hierarchy ensures that your marketing data remains accurate and protected.

Setup guide

Set up LeadsRx 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 LeadsRx tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

The CrewAI shared memory model allows agents to access the results of previous tool calls. Once one agent retrieves data via `list_agencies`, the rest of the crew can reference those IDs.

You can trigger your crew to run whenever your system needs an update. Since it supports various transports, it integrates into your existing automation pipeline to pull attribution data regularly.

Yes, you can use the tool filter feature to restrict access. You might give an agent access to `list_campaigns` but block it from modifying any conversion records.

The crew handles errors based on your agent's instructions. If a call to `get_campaign_results` fails, you can tell the agent to report the issue or wait and try again later.

Your marketing records are encrypted in transit and protected by your endpoint token. The server acts as a secure gateway, ensuring that only your defined crew agents can access your conversion touchpoint data.

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