How to Use the Metisscan (Metis L2 Network Explorer) MCP in CrewAI

Q: Can I restrict which Metisscan (Metis L2 Network Explorer) tools my CrewAI agents can use?

Yes, you can use the MCPServerHTTP class from crewai.mcp along with a toolfilter. This lets you restrict access to read-only tools like getaddresscounters while blocking execution tools.

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Connect Metisscan (Metis L2 Network Explorer) MCP to CrewAI

Create your Vinkius account to connect Metisscan (Metis L2 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.

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Setup Metisscan (Metis L2 Network Explorer) with CrewAI

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Run Collaborative Audits with this MCP Server

This MCP Server provides the raw on-chain data your specialized agent teams need to collaborate. One CrewAI agent can use `get_smart_contract` to fetch bytecode, while a second agent analyzes the compiler settings retrieved via `get_smart_contract_verification_config`. Setting up a multi-agent team lets you build autonomous security monitors. The agents share their findings in a common memory pool, escalating critical vulnerabilities to your team without manual intervention.

Track Large-Scale Token Movements

Executing `get_token_holders` and `get_token_transfers` allows your tracking crew to map asset distribution across Metis L2. An analyst agent identifies large whale addresses, while a researcher agent cross-references those addresses with recent transactions. CrewAI handles the task delegation between these agents automatically. You define the operational sequence, and the agents pass the filtered transaction records to each other to complete the report.

Monitor Sequencer Blocks and Latency

Calling `list_blocks` and `eth_get_block_by_number` gives your monitoring crew immediate visibility into Metis L2 sequencer activity. Your agents track block times and transaction counts to spot congestion or network anomalies. Because CrewAI supports hierarchical execution, a supervisor agent can continuously poll the block height and assign deep-dive analysis tasks to subordinate agents when anomalies occur.

Setup guide

Set up Metisscan (Metis L2 Network Explorer) 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 Metisscan (Metis L2 Network Explorer) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Metisscan (Metis L2 Network Explorer) Analyst",
    goal="Access and analyze Metisscan (Metis L2 Network Explorer) data via MCP.",
    backstory="Expert analyst with direct Metisscan (Metis L2 Network Explorer) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Metisscan (Metis L2 Network Explorer) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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="Metisscan (Metis L2 Network Explorer) Analyst",
        goal="Access and analyze Metisscan (Metis L2 Network Explorer) data via MCP.",
        backstory="Expert analyst with direct Metisscan (Metis L2 Network Explorer) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Metisscan (Metis L2 Network Explorer) 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 Metisscan. 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 Metisscan (Metis L2 Network Explorer) MCP in CrewAI

You pass your Vinkius endpoint URL directly into the agent's `mcps` array parameter during initialization. CrewAI automatically discovers all 26 tools and makes them available to that specific agent.

Yes, you can use the `MCPServerHTTP` class from `crewai.mcp` along with a `tool_filter`. This lets you restrict access to read-only tools like `get_address_counters` while blocking execution tools.

CrewAI agents utilize a shared memory system to pass block data and transaction logs. When one agent calls `get_transaction`, the resulting JSON payload is stored in the shared context for other agents to analyze.

You can configure execution delays between tasks in your CrewAI configuration. The underlying Vinkius proxy also manages endpoint throttling to ensure your queries to `list_transactions` execute reliably.

No, all network requests for address counters, token balances, and transaction logs are routed through an encrypted, ephemeral tunnel. Vinkius maintains strict zero-trust isolation, ensuring your agent's private context is never exposed.

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