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How to Use the Gnosisscan (Gnosis Chain Explorer) MCP in Pydantic AI

Validate Gnosis Chain explorer data at runtime using Pydantic AI to build type-safe blockchain agents.

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Connect Gnosisscan (Gnosis Chain Explorer) MCP to Pydantic AI

Create your Vinkius account to connect Gnosisscan (Gnosis Chain 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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Parse Gnosisscan MCP Server transactions with strict types

The `get_account_txlist` tool returns a list of normal transactions for any Gnosis Chain address. Pydantic AI validates every field in the response against its internal schemas, ensuring your agent never processes corrupt transaction data. If you need to trace internal smart contract calls, the agent invokes `get_account_txlist_internal`. The framework guarantees that the complex nested structures of internal calls conform to your defined Python models.

Validate raw transaction receipts in Pydantic AI

The `proxy_gettransactionreceipt` tool pulls the complete receipt for any transaction hash. Pydantic AI parses the gas used, status, and logs, throwing a validation error if any field deviates from the expected schema. For checking unconfirmed or pending transactions, your agent uses `proxy_gettransactionbyhash`. This gives you immediate, type-safe access to raw transaction payloads directly from the Gnosis Chain mempool.

Track validator activity with type-safe tools

The `get_account_minedblocks` tool retrieves the list of blocks validated by a specific address. Your agent uses this data to track validator performance and verify reward payouts with absolute structural integrity. To check the actual reward distributions, the agent calls `get_block_reward`. The framework validates the reward amounts and block details before passing them to your application logic.

Setup guide

Set up Gnosisscan (Gnosis Chain Explorer) MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "gnosisscan-gnosis-chain-explorer-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Gnosisscan (Gnosis Chain Explorer) transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gnosisscan. 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 Gnosisscan (Gnosis Chain Explorer) MCP in Pydantic AI

You initialize the MCPToolset with the server's HTTP endpoint. Pass this toolset into the toolsets parameter of your Pydantic AI Agent constructor to register all 26 tools.
The framework raises a ValidationError immediately. This prevents your agent from executing decisions based on corrupted or malformed block explorer data.
Yes, your agent calls `proxy_gasprice` to fetch the current gas price. The returned value is validated as a type-safe integer before your agent uses it to calculate transaction costs.
Yes. Because Pydantic AI is model-agnostic, you can use these tools with local models or commercial APIs while maintaining strict runtime validation.
No. The server acts as a stateless proxy that forwards your queries to Gnosisscan. It never logs or retains wallet balances, transaction lists, or any other query parameters.

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