How to Use the Blockscout MCP in CrewAI
Deploy autonomous multi-agent teams to monitor blockchains with CrewAI and Blockscout.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Blockscout MCP to CrewAI
Create your Vinkius account to connect Blockscout 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 multi-agent blockchain investigations
The `get_account_transactions` tool retrieves transaction histories for any suspect wallet address. They share memory dynamically, letting them cross-reference internal contract calls retrieved via `get_account_internal_transactions`.
Deploy a CrewAI monitoring team with the Blockscout MCP Server
The `get_total_supply` tool fetches the total circulating supply of native network tokens. By using this MCP Server, your autonomous agents can spot supply anomalies or indexing delays.
Audit smart contracts autonomously
The `get_contract_abi` tool extracts the application binary interface for any smart contract. Solidity files are read directly by the security agent using `get_contract_source_code`.
Set up Blockscout 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 Blockscout tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Blockscout Analyst",
goal="Access and analyze Blockscout data via MCP.",
backstory="Expert analyst with direct Blockscout access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Blockscout 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="Blockscout Analyst",
goal="Access and analyze Blockscout data via MCP.",
backstory="Expert analyst with direct Blockscout access.",
tools=mcp_tools,
)
task = Task(
description="List recent Blockscout 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 Blockscout. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Blockscout MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Blockscout MCP today
We host it, we monitor it, we maintain it. You just paste one token.