How to Use the Authkey MCP in CrewAI

Q: How do I connect Authkey to a CrewAI agent?

Add your Vinkius endpoint URL directly to the mcps="https://..." list when defining the agent. CrewAI automatically fetches the MCP tools.

Q: Can I restrict which CrewAI agents use Authkey?

Yes. Use MCPServerHTTP from crewai.mcp and configure a toolfilter. This prevents an analysis agent from accidentally calling sendbulksms.

Q: Can multiple agents check the account balance?

Any agent with access to the checkbalance tool can read the remaining credits. They use this data to decide if they should send an SMS or an email.

Give your CrewAI agents an MCP Server to send SMS, emails, and voice calls autonomously.

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Connect Authkey MCP to CrewAI

Create your Vinkius account to connect Authkey 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 Authkey with CrewAI

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Delegate Authkey MCP Server tasks in CrewAI

The `send_email` and `send_sms` tools give your communication agents direct access to outbound channels. A research agent finds a problem, and the notification agent texts the engineering team. You pass the Vinkius URL into the `mcps` array during agent initialization. The framework handles the tool execution natively using Streamable HTTP transport.

Monitor delivery across autonomous teams

The `get_sms_status` and `list_sms_history` tools allow a supervisor agent to track message success rates. The system audits its own communication logs without human oversight. If you want strict control over what each agent can do, import `MCPServerHTTP`. You apply a `tool_filter` so the monitor agent can only read statuses, while the action agent can actually send messages.

Execute multi-channel alert cascades

The `send_otp`, `send_voice`, and `send_bulk_sms` tools enable hierarchical escalation paths. A primary agent attempts an SMS, and if the user ignores it, a secondary agent triggers a voice call. Agents share memory during the session. The secondary agent knows exactly when the first message went out, ensuring the automated phone call references the ignored text.

Setup guide

Set up Authkey 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 Authkey tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Add your Vinkius endpoint URL directly to the `mcps=["https://..."]` list when defining the agent. CrewAI automatically fetches the MCP tools.

Yes. Use `MCPServerHTTP` from `crewai.mcp` and configure a `tool_filter`. This prevents an analysis agent from accidentally calling `send_bulk_sms`.

The agent reads the error response from the tool execution. If `check_authkey_status` fails, the agent writes a log entry and moves to its fallback task.

Any agent with access to the `check_balance` tool can read the remaining credits. They use this data to decide if they should send an SMS or an email.

The Vinkius ephemeral sandbox processes the execution. Recipient phone numbers, email addresses, and OTP codes disappear the moment the tool returns the result to your Python environment.

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