How to Use the Fireblocks MCP in CrewAI

Q: How does CrewAI handle Fireblocks transaction history?

A researcher agent calls listtransactions to pull the data. Other agents then read this history from the shared memory to make decisions.

Operate a crew of autonomous agents for Fireblocks. Specialized roles for research, compliance, and execution.

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Connect Fireblocks MCP to CrewAI

Create your Vinkius account to connect Fireblocks 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 Fireblocks with CrewAI

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Autonomous transaction crews in CrewAI

Assign a 'Trader' agent to call `create_transaction` and a 'Monitor' agent to poll `get_transaction`. They coordinate to ensure your funds move safely. The agents share memory, so your Monitor agent knows exactly which transaction ID the Trader agent just initiated.

Compliance monitoring with CrewAI

Set up a dedicated 'Compliance' agent to run `validate_travel_rule` on every pending transfer. It acts as a gatekeeper for your entire crew. This agent uses `get_screening_transaction` to audit history. It keeps your operations clean by flagging issues before they escalate.

Staking and liquidity via CrewAI

Let a 'Treasury' agent call `list_staking_positions` to find opportunities. It uses `stake_position` to put idle assets to work. Your crew can refresh data with `refresh_nfts` or check contract status with `list_contracts`. Everything stays updated without manual intervention.

Setup guide

Set up Fireblocks 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 Fireblocks tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Fireblocks 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 Fireblocks. 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 Fireblocks MCP in CrewAI

Absolutely. You can define a crew where one agent prepares the transaction and another handles the compliance checks before execution.

Use a tool filter in your agent definition. This ensures only the agent with the 'Compliance' role can execute `validate_travel_rule`.

Your vault keys are never stored by the agents. The MCP server handles the communication, and you control the scope of what agents can see.

A researcher agent calls `list_transactions` to pull the data. Other agents then read this history from the shared memory to make decisions.

The server shares transaction IDs, vault balances, and compliance results. You define which of these 40 tools are available to your agents.

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