How to Use the AntChain MCP in CrewAI

Q: How do I add the AntChain tools to a CrewAI agent?

Install the framework with pip install crewai "crewaitools". Pass your Vinkius HTTP URL directly into the agent configuration using the MCP server parameters.

Q: How do CrewAI agents handle gas limits and transaction checks on AntChain?

Agents use querytransaction to check gas usage. They pass this data to other agents in the crew to optimize future contract invocations.

Q: Can I restrict which tools a specific agent can access?

Yes. Use MCPServerHTTP from the framework tools to filter which MCP operations are exposed to specific crew members.

Run autonomous multi-agent teams that audit, deploy, and monitor AntChain ledgers using CrewAI.

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Setup AntChain with CrewAI

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Multi-agent ledger auditing with the AntChain MCP Server.

The `query_latest_transactions` tool supplies your CrewAI monitoring agent with a real-time stream of network activity. While one agent scans this list for anomalies, a second agent uses `query_transaction` to inspect specific suspicious payloads. This division of labor keeps your operations autonomous. The agents share memory, allowing them to flag issues and coordinate responses without manual intervention.

Autonomous smart contract deployment and verification.

The `deploy_contract` tool allows your developer agent to deploy compiled bytecode to the network. Once deployed, a separate QA agent uses `query_contract` to verify that the configuration matches your specifications. This setup prevents bad deployments from slipping through. By separating the deployment and verification roles, your crew ensures that only thoroughly checked contracts go live.

Automated balance monitoring and alerts.

The `query_account_balance` tool tracks wallet funds across your active networks. A monitoring agent checks these balances regularly, while an escalation agent handles notifications if funds drop below a threshold. The agents use `get_chain_list` to discover which networks need monitoring. This keeps your automated ledger operations running smoothly without human oversight.

Setup guide

Set up AntChain 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 AntChain tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Install the framework with `pip install crewai "crewai[tools]"`. Pass your Vinkius HTTP URL directly into the agent configuration using the MCP server parameters.

Yes. One agent can compile the contract, while another uses the `deploy_contract` tool to push the hex bytecode to the ledger.

Agents use `query_transaction` to check gas usage. They pass this data to other agents in the crew to optimize future contract invocations.

Yes. Use `MCPServerHTTP` from the framework tools to filter which MCP operations are exposed to specific crew members.

The MCP Server runs in an ephemeral V8 Isolate sandbox on Vinkius. Your private keys never leave the secure hosting environment, preventing your Python agents from exposing sensitive blockchain credentials.

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