How to Use the Lit Protocol (Decentralized Access Control) MCP in CrewAI

Coordinate autonomous teams using Lit Protocol (Decentralized Access Control) and CrewAI.

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Connect Lit Protocol (Decentralized Access Control) MCP to CrewAI

Create your Vinkius account to connect Lit Protocol (Decentralized Access Control) 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 Lit Protocol (Decentralized Access Control) with CrewAI

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Role-based key management

Assign specific agents in your crew to manage access rights using `add_action_to_group`. One agent acts as the auditor, while another acts as the operator, ensuring a separation of duties. This keeps your operations secure. No single agent has full control, and you can audit the history of `list_actions` to see exactly who did what and when.

Autonomous Lit Action execution

Enable your crew to perform decentralized operations using `execute_lit_action`. Your researchers identify a task, and your executor agents run the necessary code on the network. It happens sequentially. The crew verifies the result of each action before the next agent takes over, creating a reliable chain of decentralized execution.

Monitor and scale operations

Use your monitor agent to keep an eye on credit usage via `get_billing_balance`. If credits dip, the agent triggers a top-up flow, keeping the crew operational. It removes the bottleneck. Your autonomous agents handle the administrative overhead of the Lit network, leaving you to focus on the higher-level strategy of your crew.

Setup guide

Set up Lit Protocol (Decentralized Access Control) 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 Lit Protocol (Decentralized Access Control) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Lit Protocol (Decentralized Access Control) 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 Lit Protocol. 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 Lit Protocol (Decentralized Access Control) MCP in CrewAI

You can store shared state in a database and use Lit Actions to encrypt that data. The agents then use `execute_lit_action` to decrypt and access the shared info only when authorized.

Yes. By using the tool filter, you decide exactly which agent has access to specific tools like `create_wallet`. This prevents your research agents from accidentally creating new keys.

Simply provide the Vinkius URL in your agent configuration. The CrewAI framework handles the connection to the MCP server, and the tools are automatically injected into the agent's toolset.

The agent receives an error from the MCP server. You can write a logic block to catch this and have a supervisor agent update the API key or trigger a payment.

We use encrypted transports for all MCP communication. Your agent's activity regarding PKPs is kept private and never logged in plain text by the underlying infrastructure.

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