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How to Use the Adversus MCP in CrewAI

Deploy autonomous sales agent teams to manage your dialer campaigns using CrewAI.

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Works with every AI agent you already use

…and any MCP-compatible client

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CrewAI

Connect Adversus MCP to CrewAI

Create your Vinkius account to connect Adversus 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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Coordinate dialer operations with CrewAI agent teams

The `list_active_leads` tool serves as the primary data source for your lead-scouting agent. While that agent filters raw prospects, a separate campaign agent runs `list_campaigns` to find matching outbound targets. This multi-agent setup uses shared memory to coordinate tasks without manual handoffs. They work in sequence to ensure leads are vetted before they touch your active dialing queues.

Automate campaign enrollment using specialized CrewAI roles

The `add_contact_to_campaign` tool enables your operations crew to assign contacts dynamically. This MCP Server allows a moderator agent to trigger the insertion once the research agent confirms the lead's phone number is active. By letting a dedicated agent handle campaign insertions, you eliminate manual data entry. The crew monitors performance metrics and adjusts campaign targets based on real-time dialer feedback.

Run automated pipeline audits across CRM projects

The `list_crm_projects` tool allows an auditor agent to inspect your project structures through our managed MCP Server. It works alongside a lead manager agent running `list_campaign_contacts` to verify that every project has active dialer assignments. If the crew finds a project without assigned contacts, they flag the gap for review. That hands-off auditing process ensures your outbound team always has active lists to call.

Setup guide

Set up Adversus MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

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

  2. 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. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Adversus tools as needed.

crew.py
from crewai import Agent, Task, Crew

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

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

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Adversus MCP in CrewAI

Pass your Vinkius server URL directly into the agent's `mcps` parameter during initialization. This instantly exposes tools like `list_campaigns` to that specific agent.
Yes. Your research agent can query `list_active_leads` while your execution agent runs `add_contact_to_campaign`, sharing context through CrewAI's memory layer.
Use `MCPServerHTTP` from `crewai.mcp` and define a `tool_filter`. This lets you restrict access, ensuring a junior agent cannot run `add_contact_to_campaign`.
This setup supports stdio, SSE, and Streamable HTTP transports, allowing your multi-agent crew to connect reliably regardless of your deployment environment.
All interactions with your campaign lists and lead data run through an ephemeral, token-authenticated connection. Vinkius handles the credentials securely, preventing raw API keys from being exposed to your agent teams.

Start using the Adversus MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for Adversus. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 7 tools are live and waiting. You're up and running in seconds.

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