How to Use the Wemix Explorer MCP in Pydantic AI

Q: How can I list events with Wemix Explorer and Pydantic AI?

Use listevents to pull a validated summary of all recorded network events. This provides your agent with an immediate, structured overview of chain activity.

Q: Can I get token info with Wemix Explorer and Pydantic AI?

Yep. gettoken retrieves detailed information about a specific token type. Because you're using Pydantic, the resulting object is guaranteed to match your expectations.

Q: What is the best way to list tokens with Wemix Explorer and Pydantic AI?

Call listtokens when you need a full roster of all token types on the network. The type-safe framework guarantees that this comprehensive list will conform to your expected data model.

Q: Does Wemix Explorer and Pydantic AI support listing account tokens?

The listaccounttokens tool handles this perfectly. It delivers a validated, structured list of every token an account holds for review.

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Connect Wemix Explorer MCP to Pydantic AI

Create your Vinkius account to connect Wemix Explorer to Pydantic AI 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 Pydantic AI

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Querying Blocks with the MCP Server

Use `get_block` to get detailed information for any specific block. Because of Pydantic's validation, you'll always know exactly what fields are returned. It's reliable data for your agent. You pull everything needed—the full contents, transactions, and metadata—and the structure is guaranteed.

Monitoring Accounts with Pydantic AI

The `get_account_info` tool lets you fetch basic account details for an address. If the API data is messy or incomplete, your agent fails loud with a validation error—no silent corruption. It's solid. You get reliable structural data about an account every time you run it.

Reviewing Transfers via Pydantic AI

Need to track money? Start with `list_account_transfers` to see a validated list of transfers tied to one address. This gives your agent clear, structured data. If you need the raw transaction context, use `list_extrinsics`. Pydantic ensures that even complex records like these adhere to your defined schemas.

Setup guide

Set up Wemix Explorer MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "wemix-explorer-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Wemix Explorer tools.",
)

result = await agent.run("List recent Wemix Explorer transactions")
print(result.output)

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Common questions about Wemix Explorer MCP in Pydantic AI

Use `list_events` to pull a validated summary of all recorded network events. This provides your agent with an immediate, structured overview of chain activity.

Yep. `get_token` retrieves detailed information about a specific token type. Because you're using Pydantic, the resulting object is guaranteed to match your expectations.

Call `list_tokens` when you need a full roster of all token types on the network. The type-safe framework guarantees that this comprehensive list will conform to your expected data model.

The `list_account_tokens` tool handles this perfectly. It delivers a validated, structured list of every token an account holds for review.

The server deals exclusively with public chain ledger details like block records, event information, and extrinsic transaction logs. All data is read from the network.

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