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Dynamic (Web3 Auth) MCP Server for CrewAIGive CrewAI instant access to 8 tools to Check Sanctions, Delete User, Get Embedded Wallet Versions, and more

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Connect your CrewAI agents to Dynamic (Web3 Auth) through Vinkius, pass the Edge URL in the `mcps` parameter and every Dynamic (Web3 Auth) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Ask AI about this MCP Server for CrewAI

The Dynamic (Web3 Auth) MCP Server for CrewAI is a standout in the Security Compliance category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Dynamic (Web3 Auth) Specialist",
    goal="Help users interact with Dynamic (Web3 Auth) effectively",
    backstory=(
        "You are an expert at leveraging Dynamic (Web3 Auth) 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 Dynamic (Web3 Auth) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Dynamic (Web3 Auth)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
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 Dynamic (Web3 Auth) MCP Server

Connect your Dynamic environment to any AI agent to streamline Web3 user management and security workflows through natural conversation.

When paired with CrewAI, Dynamic (Web3 Auth) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Dynamic (Web3 Auth) 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 Management — Fetch detailed user profiles or permanently delete users from specific environments using get_user and delete_user.
  • Security & Compliance — Use check_sanctions to verify if specific wallet addresses are sanctioned across multiple chains (ETH, SOL, EVM, etc.).
  • Session Control — Instantly terminate active user sessions with revoke_session to maintain environment security.
  • Infrastructure Monitoring — List active embedded wallet versions and configured webhooks to audit your auth setup.
  • Financial Insights — Retrieve real-time token balances for users across different networks using get_token_balances.

The Dynamic (Web3 Auth) MCP Server exposes 8 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Dynamic (Web3 Auth) tools available for CrewAI

When CrewAI connects to Dynamic (Web3 Auth) through Vinkius, your AI agent gets direct access to every tool listed below — spanning web3-authentication, wallet-security, user-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

check

Check sanctions on Dynamic (Web3 Auth)

Check wallet sanctions

delete

Delete user on Dynamic (Web3 Auth)

Delete a user from an environment

get

Get embedded wallet versions on Dynamic (Web3 Auth)

Get active embedded wallet versions

get

Get event types on Dynamic (Web3 Auth)

Get available event types

get

Get token balances on Dynamic (Web3 Auth)

Get token balances for a user

get

Get user on Dynamic (Web3 Auth)

Get a user by ID in an environment

get

Get webhooks on Dynamic (Web3 Auth)

Get configured webhooks

revoke

Revoke session on Dynamic (Web3 Auth)

Revoke an active user session

Connect Dynamic (Web3 Auth) to CrewAI via MCP

Follow these steps to wire Dynamic (Web3 Auth) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Dynamic (Web3 Auth)

Why Use CrewAI with the Dynamic (Web3 Auth) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Dynamic (Web3 Auth) through the Model Context Protocol.

01

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

02

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

03

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

04

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

Dynamic (Web3 Auth) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Dynamic (Web3 Auth) MCP Server delivers measurable value.

01

Automated multi-step research: a reconnaissance agent queries Dynamic (Web3 Auth) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Dynamic (Web3 Auth), analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Dynamic (Web3 Auth) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Dynamic (Web3 Auth) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Dynamic (Web3 Auth) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Dynamic (Web3 Auth) immediately.

01

"Get user profile for user_id 'usr_123' in environment 'env_456'."

02

"Check if the wallet address 0x742d35Cc6634C0532925a3b844Bc454e4438f44e is sanctioned on the ETH chain."

03

"What are the available event types for webhooks in this environment?"

Troubleshooting Dynamic (Web3 Auth) MCP Server with CrewAI

Common issues when connecting Dynamic (Web3 Auth) to CrewAI through Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

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.

Dynamic (Web3 Auth) + CrewAI FAQ

Common questions about integrating Dynamic (Web3 Auth) MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.

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