How to Use the FusionAuth (Enterprise Identity & Auth) MCP in CrewAI

Deploy autonomous identity teams using CrewAI and the FusionAuth (Enterprise Identity & Auth) MCP Server.

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Connect FusionAuth (Enterprise Identity & Auth) MCP to CrewAI

Create your Vinkius account to connect FusionAuth (Enterprise Identity & Auth) 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 FusionAuth (Enterprise Identity & Auth) with CrewAI

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Autonomous identity monitoring in CrewAI

Assign a monitor agent to poll `get_system_status` and `list_applications` continuously. When the system detects an anomaly, it alerts a moderator agent to perform corrective actions. Your agents work in concert to maintain a stable identity state. You define the roles, and the crew handles the operational overhead of keeping your auth system healthy.

Multi-agent user lifecycle automation

Create a specialized crew where one agent manages `create_user` and another handles `enable_mfa`. This separation of concerns mirrors real-world security practices where different teams manage different stages of the user lifecycle. Shared memory allows the agents to track which users require attention. This eliminates manual tracking and ensures your onboarding pipeline never stalls.

Hierarchical identity and access control

Build a command structure where a manager agent oversees the execution of `update_tenant` or `revoke_refresh_tokens`. This ensures that high-impact actions follow a clear path of authorization. Your system gains a layer of oversight that manual scripts cannot provide. The agents verify the environment state before taking action, reducing the risk of accidental misconfiguration.

Setup guide

Set up FusionAuth (Enterprise Identity & Auth) 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 FusionAuth (Enterprise Identity & Auth) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent FusionAuth (Enterprise Identity & Auth) 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 FusionAuth. 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 FusionAuth (Enterprise Identity & Auth) MCP in CrewAI

Simply pass the server URL to the agent's MCP configuration list. The crew will automatically discover the tools and assign them to the appropriate agents based on their roles.

Yes, you can use a tool filter to limit which agents have access to specific methods. This prevents your research agent from accidentally calling delete functions.

Yes, the server supports stdio and SSE transports for local development. You can run your entire crew offline and keep your identity operations local to your machine.

Agents share memory across the session. If one agent creates a user, the next agent in the crew can retrieve that user's ID immediately to assign roles.

The tool acts as a direct conduit to your API. Your user records remain in your database, and the server never stores or logs the actual identity data it processes.

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