How do I find my Authing User Pool ID and Access Key?

Log in to your Authing console, select your project or user pool, and you will find your User Pool ID in the basic info section. Generate your Access Key ID and Secret in the [Settings] → [Access Key] section.

Can I retrieve security audit logs through this server?

Yes. Use the `get_audit_logs` tool to retrieve a list of recent administrative and user actions, helping you maintain a clear trail for security compliance.

Is it possible to list organizations and their structures?

Yes! Use the `list_organizations` tool to retrieve all organizational units defined in your user pool, allowing your agent to understand your company's hierarchy.

Authing MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Authing
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Authing through Vinkius, pass the Edge URL in the `mcps` parameter and every Authing tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Authing Specialist",
    goal="Help users interact with Authing effectively",
    backstory=(
        "You are an expert at leveraging Authing tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Authing "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Authing MCP Server

Empower your AI agent to orchestrate your entire identity infrastructure with Authing, the premier cloud-native IDaaS platform. By connecting Authing to your agent, you transform complex user management, organizational modeling, and security auditing into a natural conversation. Your agent can instantly list users, retrieve detailed profile metadata, browse organizational structures, and monitor security audit logs without you ever needing to navigate the comprehensive Authing console. Whether you are conducting a compliance audit or managing application access, your agent acts as a real-time identity assistant, keeping your user data accurate and your systems secure.

When paired with CrewAI, Authing becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Authing tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

User Orchestration — List and retrieve detailed information about users in your Authing user pool.
Organizational Management — Browse and monitor organizational units and hierarchies across your company.
Access Control Auditing — List roles, groups, and permission resources to identify authorization patterns.
Security Monitoring — Retrieve real-time security audit logs to monitor administrative and user actions.
System Configuration — Access high-level security settings and metadata for your identity projects.

The Authing MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Authing to CrewAI via MCP

Follow these steps to integrate the Authing MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Authing

Why Use CrewAI with the Authing MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Authing through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Authing + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Authing MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Authing for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Authing, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Authing tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Authing against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Authing MCP Tools for CrewAI (10)

These 10 tools become available when you connect Authing to CrewAI via MCP:

create_user

Create a new user

get_audit_logs

Get security audit logs

get_security_settings

Get pool security settings

get_user

Get user details

list_applications

List registered applications

list_groups

List user groups

list_organizations

List organizations

list_resources

List permission resources

list_roles

List user roles

list_users

List application users

Example Prompts for Authing in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Authing immediately.

"List all users in our Authing pool."

"Show me the security audit logs from today."

"List all organizational units in the company."

Troubleshooting Authing MCP Server with CrewAI

Common issues when connecting Authing to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Authing + CrewAI FAQ

Common questions about integrating Authing MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.