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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
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
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