How to Use the FtmScan (Fantom Network Explorer) MCP in CrewAI

Q: How do I add FtmScan (Fantom Network Explorer) to my CrewAI agents?

Install crewaitools. You can pass the Vinkius URL directly into the mcps array in your Agent definition, and CrewAI will automatically map the 19 tools.

Q: Can I restrict which FtmScan (Fantom Network Explorer) tools a CrewAI agent can use?

Yes. Use MCPServerHTTP from crewai.mcp and apply a toolfilter. This lets you restrict your research agent to just getcontractabi while blocking it from transaction tools.

Deploy specialized autonomous agents to monitor Fantom network activity with CrewAI.

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Connect FtmScan (Fantom Network Explorer) MCP to CrewAI

Create your Vinkius account to connect FtmScan (Fantom 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 FtmScan (Fantom Network Explorer) with CrewAI

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Autonomous network monitoring crews

You can assign specific blockchain tasks to specialized agents. A monitor agent continuously checks network health by querying `get_eth_block_number` and `get_block_countdown`. It watches for chain halts or unusual block times. If the monitor detects an anomaly, it passes the context to an analyst agent. The analyst then uses `get_block_reward` to see if validator incentives are skewing, compiling a full report without any human intervention.

CrewAI exploit tracing teams

When a protocol gets hacked, speed matters. You spin up a CrewAI session where the lead investigator agent grabs the initial hack transaction using `get_eth_transaction_by_hash`. It identifies the attacker's wallet instantly. The lead then delegates the tracing work. One agent tracks the stolen funds via `get_normal_transactions` and `get_internal_transactions`, while another pulls `get_logs` to reconstruct the exact sequence of the flash loan attack.

Decentralized finance analysis via MCP Server

Build a financial research crew that evaluates Fantom projects. The data gatherer agent pulls the token metrics using `get_ftm_last_price` and `get_erc20_token_supply` to establish a baseline market cap. Next, a secondary agent looks at the actual holders. It calls `get_erc20_token_balance` across known exchange wallets to determine circulating liquidity. The crew synthesizes these raw FtmScan data points into a final investment memo.

Setup guide

Set up FtmScan (Fantom 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 FtmScan (Fantom Network Explorer) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent FtmScan (Fantom 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 →

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

    task = Task(
        description="List recent FtmScan (Fantom 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 FtmScan. 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 FtmScan (Fantom Network Explorer) MCP in CrewAI

Install `crewai[tools]`. You can pass the Vinkius URL directly into the `mcps` array in your Agent definition, and CrewAI will automatically map the 19 tools.

Yes. Use `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter`. This lets you restrict your research agent to just `get_contract_abi` while blocking it from transaction tools.

CrewAI maintains shared memory across the session. If Agent A fetches wallet history via the MCP Server, Agent B can analyze that exact dataset without making a duplicate API call.

CrewAI agents can be configured to pause and retry. If a tool call fails due to rate limits, the agent reads the error message and waits before attempting the query again.

The integration only touches public ledger data like wallet addresses and block numbers. Vinkius executes the MCP connection inside a stateless V8 Isolate, meaning your specific investigation targets are destroyed entirely after the agent finishes its run.

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