How to Use the Lineascan MCP in CrewAI

Q: How do I limit which Lineascan MCP Server tools my CrewAI agents can access?

Use MCPServerHTTP from the CrewAI library and apply a toolfilter. This lets you restrict your CrewAI agents to read-only tools like txlist while blocking write tools like verifysourcecode.

Q: Can CrewAI agents look up historical NFT transactions?

Yes, your specialized tracking agent can invoke tokennfttx to scan an address's NFT transfer history. The agent then analyzes the metadata to build a profile of the user's digital assets.

Run autonomous multi-agent teams auditing the Linea chain using CrewAI.

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Connect Lineascan MCP to CrewAI

Create your Vinkius account to connect Lineascan 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 Lineascan with CrewAI

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Multi-agent security audits on the Linea network

`get_source_code` feeds raw Solidity files to your CrewAI audit specialist agent while your analyst agent parses the contract's ABI. They work in parallel, passing data through shared memory to identify potential vulnerabilities. Once finished, a CrewAI manager agent calls `check_verify_status` to ensure the target contract is properly registered on the Lineascan explorer.

Autonomous transaction auditing via this MCP Server

`tx_list` allows your CrewAI researcher agent to extract a wallet's raw activity history and hand it off to your accountant agent. The accountant agent then calls `token_tx` to isolate specific ERC-20 movements on Linea. This pipeline runs sequentially to build a clean ledger of an address's activity.

Collaborative gas optimization and simulation

`eth_estimate_gas` lets your CrewAI developer agent test transaction payloads before your execution agent submits them to the network. Your CrewAI team uses `eth_price` to calculate real-world transaction costs in USD. This ensures your autonomous CrewAI operations never execute unprofitable smart contract calls on Linea.

Setup guide

Set up Lineascan 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 Lineascan tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Add the Vinkius HTTP URL directly to the mcps array when defining your CrewAI agent. The agent automatically discovers Lineascan tools like get_balance and uses them to complete its assigned tasks.

Yes, agents share access to the server and can call tools like get_logs or eth_block_number as needed. The Vinkius sandbox manages concurrent requests efficiently to prevent rate-limiting issues.

Use MCPServerHTTP from the CrewAI library and apply a tool_filter. This lets you restrict your CrewAI agents to read-only tools like tx_list while blocking write tools like verify_source_code.

Yes, your specialized tracking agent can invoke token_nft_tx to scan an address's NFT transfer history. The agent then analyzes the metadata to build a profile of the user's digital assets.

This MCP toolset only reads public data from the Linea explorer, such as verified contract source codes and ABIs. Vinkius executes these requests inside zero-trust, ephemeral containers, ensuring your team's queries remain isolated and secure.

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