How to Use the Biconomy (Account Abstraction) MCP in CrewAI
Coordinate autonomous agent teams using CrewAI to execute Biconomy (Account Abstraction) transactions without manual oversight.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Biconomy (Account Abstraction) MCP to CrewAI
Create your Vinkius account to connect Biconomy (Account Abstraction) 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.
Let CrewAI agents fetch and analyze Biconomy quotes
The `get_quote` tool allows your specialized financial agent to fetch transaction costs and gas options from Biconomy. Once fetched, the agent passes this quote data to an analyst agent to verify if the trade meets your risk parameters. This multi-agent setup keeps transaction prep completely autonomous. No human needs to manually look up gas prices or calculate transaction routes.
Execute Supertransactions using CrewAI role-based agents
The `execute_supertx` tool executes pre-signed Web3 payloads when triggered by your execution agent. The agent takes the signed payload generated by your user's wallet and submits it directly to the Biconomy networks. This decouples transaction preparation from actual execution. One agent monitors the conditions, while the execution agent runs the tool to finalize the transaction.
Monitor Biconomy transactions with this MCP Server
The `get_explorer_status` tool gives your auditor agent the ability to track transaction resolution. The agent monitors the Biconomy explorer and updates the shared memory of the crew once the transaction lands on-chain. If a transaction hangs, the auditor agent alerts the coordinator agent to take corrective action. This keeps your autonomous operations running without manual intervention.
Set up Biconomy (Account Abstraction) MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Biconomy (Account Abstraction) tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Biconomy (Account Abstraction) Analyst",
goal="Access and analyze Biconomy (Account Abstraction) data via MCP.",
backstory="Expert analyst with direct Biconomy (Account Abstraction) access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Biconomy (Account Abstraction) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="Biconomy (Account Abstraction) Analyst",
goal="Access and analyze Biconomy (Account Abstraction) data via MCP.",
backstory="Expert analyst with direct Biconomy (Account Abstraction) access.",
tools=mcp_tools,
)
task = Task(
description="List recent Biconomy (Account Abstraction) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Biconomy. 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 Biconomy (Account Abstraction) MCP in CrewAI
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