How to Use the Zetachain Explorer (ZetaChain Block Explorer API) MCP in CrewAI

Q: What is the best way to analyze contract interactions with Zetachain Explorer (ZetaChain Block Explorer API) and CrewAI?

Define an 'Expert Agent' that uses getsmartcontract. This agent fetches the necessary ABI data, which another specialized agent can then use to interpret internal transaction calls made via gettransactioninternal.

Q: Can CrewAI autonomously audit a date range using Zetachain Explorer (ZetaChain Block Explorer API)?

Yes. The 'Coordinator Agent' uses listblocks to define the start and end points, and then delegates the task of pulling all transactions in that period through specialized calls like getblocktransactions.

Q: How do I get token balances using Zetachain Explorer (ZetaChain Block Explorer API) with CrewAI?

One agent calls getaddresstokenbalances. The resulting data is passed to a second agent which formats and reports the findings, making the output highly structured.

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Setup Zetachain Explorer (ZetaChain Block Explorer API) with CrewAI

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Assign one agent the role of 'Researcher' to use `get_token_holders` for a list of addresses. A second 'Analyst' agent then takes that output and calls `get_address_transactions` on each address. A third specialized agent aggregates this data, summarizing all token movement history using `get_token_transfers`. The entire operation runs autonomously.

Smart Contract Logic Interpretation

You can set up a 'Contract Specialist' agent. This agent uses the `get_smart_contract` tool to fetch the ABI and details for a given token. Another 'Auditor' agent then processes this raw data, comparing it against known standards. The system automatically detects if the contract is responsible for specific transactions by calling `get_transaction_internal`, providing specialized insight.

Automated Block Auditing and Indexing

To audit a period, one agent uses `list_blocks` to identify all relevant block hashes. A second agent then systematically pulls the contents of each block using `get_block_transactions`. The final 'Reporter' agent compiles this into a cohesive report. This role-based specialization allows you to process vast amounts of data without needing explicit human monitoring for every single step.

Setup guide

Set up Zetachain Explorer (ZetaChain Block Explorer API) 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 Zetachain Explorer (ZetaChain Block Explorer API) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Zetachain Explorer (ZetaChain Block Explorer API) 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 ZetaChain Explorer. 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 Zetachain Explorer (ZetaChain Block Explorer API) MCP in CrewAI

You assign a 'Research Agent' the task of fetching token holders using `get_token_holders`. The subsequent analysis agent then uses this list to cross-reference transaction data via `get_address_transactions`.

Define an 'Expert Agent' that uses `get_smart_contract`. This agent fetches the necessary ABI data, which another specialized agent can then use to interpret internal transaction calls made via `get_transaction_internal`.

Yes. The 'Coordinator Agent' uses `list_blocks` to define the start and end points, and then delegates the task of pulling all transactions in that period through specialized calls like `get_block_transactions`.

One agent calls `get_address_token_balances`. The resulting data is passed to a second agent which formats and reports the findings, making the output highly structured.

This server touches public blockchain records, specifically token transfers and address details. This information is publicly visible on the ZetaChain network.

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