How to Use the Wemix Explorer MCP in CrewAI

Let a specialized team of agents analyze complex blockchain data using CrewAI and Wemix Explorer MCP Server.

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Connect Wemix Explorer MCP to CrewAI

Create your Vinkius account to connect Wemix 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 Wemix Explorer with CrewAI

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Claude

Perplexity

Researching Network Conditions

Designate one agent (the Researcher) to gather broad network intelligence. This agent uses tools like `list_tokens` or `list_events` to pull a wide set of data points—what's trending, what tokens exist. The results form the shared memory for the entire crew. This initial sweep allows you to populate your agent's knowledge base with current network conditions before any specific action is taken.

Deep Data Analysis

Assign a second agent (the Analyst) to dive deep. The Analyst takes the list of potential blocks or accounts from the Researcher and uses `get_block` or `get_token` to pull detailed metadata. This is where specialized analysis happens, like checking block gas limits. The crew structure makes this iterative process easy. One agent passes a query result to another for expert review.

Action and Reporting

The final agent (the Actor) uses the compiled data to take action or generate summaries. It might use `get_account_info` to verify if an account is ready, or it might summarize all transfers found via `list_account_transfers`. The whole operation runs autonomously. The multi-agent setup means you don't just run one query; you build a full decision pipeline that culminates in a final output.

Setup guide

Set up Wemix 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 Wemix Explorer tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Wemix 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 Wemix 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 Wemix Explorer MCP in CrewAI

The MCP Server acts as the external data source for your agents. Agents don't need to know blockchain specifics; they just call tools like `list_events` on the MCP Server, and we handle the rest.

Yes. You can give your specialized agents a list of account IDs, allowing them to run parallel tool calls—for example, calling `get_account_info` for ten different addresses in one session.

It's the shared memory and data layer. When Agent A collects a list of tokens using `list_tokens`, that result is passed to the central environment, allowing Agent B to use those specific token IDs for analysis.

For simple setups, you pass the URL directly. For complex operations, using `tool_filter` lets you selectively expose only the tools relevant to a specific agent's job.

This server touches various public blockchain data types, including account balances, block headers, and transaction records. The MCP Server ensures all operational queries are handled with granular control.

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