How to Use the Authing MCP in CrewAI

Q: How do I filter Authing tools for CrewAI agents?

Use the toolfilter option in your server setup. You expose only the tools an agent requires to perform its specific task, keeping your operation minimal.

Deploy a specialized identity crew in CrewAI using this Authing MCP Server.

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Connect Authing MCP to CrewAI

Create your Vinkius account to connect Authing 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 Authing with CrewAI

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Role-based Authing control for CrewAI

Assign `list_users` and `list_roles` to your research agent. It gathers identity data while other crew members act on the findings. Your crew shares memory of the user pool. They collaborate to ensure account access matches your organization's requirements.

Autonomous Authing management in CrewAI

Let your monitor agent use `list_organizations` to track structure changes. It keeps the rest of the crew updated on hierarchy shifts. You build an autonomous system that responds to growth. The crew handles the heavy lifting of mapping resources to the right teams.

Security enforcement via CrewAI agents

Give your moderator agent access to `get_security_settings` to enforce compliance. It checks your configuration against your security policy. The agent acts as a guardrail for your identity settings. It identifies gaps and reports back to the crew for resolution.

Setup guide

Set up Authing 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 Authing tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Authing 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 →

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Common questions about Authing MCP in CrewAI

You pass the endpoint token directly into the agent configuration. The MCP server validates the token on every call to ensure your identity operations remain secure.

Agents store the results of tool calls in their shared memory. This allows the crew to reference past user lookups without re-running the same operation.

The server runs in an ephemeral V8 sandbox that wipes clean after each session. Your user lists and group data stay protected from outside access.

You can assign tools to specific agents in the crew definition. This keeps your identity management scoped to the agents that need it.

Use the tool_filter option in your server setup. You expose only the tools an agent requires to perform its specific task, keeping your operation minimal.

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