How to Use the Celoscan (Celo Network Explorer) MCP in CrewAI
Deploy a team of autonomous CrewAI agents to monitor Celo network activity and analyze smart contracts.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Celoscan (Celo Network Explorer) MCP to CrewAI
Create your Vinkius account to connect Celoscan (Celo Network Explorer) 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.
Coordinate On-Chain Research
Stop manually checking block explorers. Build a CrewAI researcher agent dedicated entirely to gathering network metrics via MCP. It uses `get_total_celo_supply` and `get_last_celo_price` to build a macro view of the ecosystem. Once the researcher finishes, it passes those stats in shared memory to an analyst agent. The analyst crunches the numbers and generates a daily market report without you ever touching a keyboard.
Track Whales with an MCP Server
You can assign a specific monitor agent to watch high-value wallets. This agent continuously runs `get_erc20_transfers` and `get_normal_transactions` on a list of target addresses. When a massive transfer hits the chain, the monitor flags it. A moderator agent takes that flag, looks up the specific transaction using `get_transaction_receipt_status`, and escalates the alert to your Slack channel.
Audit Contracts Hierarchically
Smart contract analysis requires multiple perspectives. Set up a manager agent that delegates tasks. It tells a fetcher agent to run `get_contract_source_code` and `get_contract_abi`. The fetcher retrieves the raw code from Celoscan and hands it back. The manager then assigns a security agent to read the code, check `get_internal_transactions` for suspicious activity, and compile a final audit report.
Set up Celoscan (Celo Network Explorer) 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 Celoscan (Celo Network Explorer) tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Celoscan (Celo Network Explorer) Analyst",
goal="Access and analyze Celoscan (Celo Network Explorer) data via MCP.",
backstory="Expert analyst with direct Celoscan (Celo Network Explorer) access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Celoscan (Celo Network Explorer) 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="Celoscan (Celo Network Explorer) Analyst",
goal="Access and analyze Celoscan (Celo Network Explorer) data via MCP.",
backstory="Expert analyst with direct Celoscan (Celo Network Explorer) access.",
tools=mcp_tools,
)
task = Task(
description="List recent Celoscan (Celo Network Explorer) 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 Celoscan. 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 Celoscan (Celo Network Explorer) MCP in CrewAI
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