How to Use the Kontak MCP in CrewAI

Q: Can I limit which Kontak tools CrewAI agents use?

Use the toolfilter option in your agent setup. This allows you to restrict agents to read-only access like listing contacts or messages.

Deploy a specialized agent crew to manage your communications via the Kontak MCP Server.

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Connect Kontak MCP to CrewAI

Create your Vinkius account to connect Kontak 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 Kontak with CrewAI

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Autonomous teams using Kontak in CrewAI

Assign a dedicated agent to call `list_kontak_messages` while another agent analyzes the content. Your crew shares memory, allowing them to coordinate actions based on the latest message data. This creates a self-regulating system. One agent handles the data retrieval, and the rest act on the insights, effectively managing your messaging operations without you.

Specialized messaging agents for CrewAI

Give your moderator agent access to `send_outbound_sms` for final delivery. By filtering tools, you ensure only the designated agent has permission to initiate outbound communications. This role-based access keeps your operations secure. Each agent has a specific scope, preventing unauthorized use of your messaging capabilities.

System monitoring with CrewAI agents

Task an agent with polling `list_kontak_webhooks` to watch for system failures. The agent updates the rest of the crew if it detects a configuration issue, triggering an immediate response. Your operations stay online because the crew is always watching. It turns raw webhook lists into actionable status updates for your entire team.

Setup guide

Set up Kontak 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 Kontak tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Add the server URL to the mcps parameter in your Agent config. The crew will automatically discover and use the available messaging tools.

Yes, they share memory and state. One agent can fetch contact data and pass it to another for targeted messaging or analysis.

The server runs in an ephemeral sandbox. Your data is encrypted in transit and never stored by the underlying framework, maintaining strict privacy.

Use the tool_filter option in your agent setup. This allows you to restrict agents to read-only access like listing contacts or messages.

The server manages the list responses. Your agents receive the data chunks and can process them iteratively as part of their assigned tasks.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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