How to Use the Conflux MCP in CrewAI

Deploy a specialized crew of agents to manage Conflux operations with this MCP Server.

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Connect Conflux MCP to CrewAI

Create your Vinkius account to connect Conflux 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 Conflux with CrewAI

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Perplexity

Multi-agent Conflux research crews

Assign a research agent to fetch block data using `cfx_get_block_by_hash`. Another agent analyzes the findings for your CrewAI team. This division of labor makes complex chain analysis faster. One agent queries, the other decides what to do next.

Autonomous Conflux transaction handling

Use a moderator agent to confirm transactions via `cfx_send_transaction` before sending. It ensures the crew doesn't act without proper validation. You define the hierarchy and let the agents handle the execution. It's built for hands-off network monitoring.

Shared memory for Conflux agents

CrewAI agents share context from tools like `cfx_get_account` or `eth_get_transaction_receipt`. Your team builds a complete picture of the account state. This keeps your agents in sync during long-running tasks. They don't repeat work because they remember the last state.

Setup guide

Set up Conflux 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 Conflux tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass the server URL to the agent's MCP list. This grants the crew immediate access to all network query and transaction tools.

Agents share the output of tool calls within the crew memory. This allows one agent to use the receipt data another agent just fetched.

The server handles the communication, but you manage the signing. The agent just tells the server when to push the transaction to the network.

It supports SSE and HTTP. You choose the connection type that fits your local or cloud-based agent deployment.

Data is scoped to the specific agent session. The server acts as a transient gateway, ensuring no permanent logs of your financial data exist on our end.

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