How to Use the Celoscan (Celo Network Explorer) MCP in Pydantic AI

Q: How do I configure Celoscan (Celo Network Explorer) inside my Pydantic AI codebase?

Install pydantic-ai-slimmcp and initialize the MCP toolset with your Vinkius HTTP endpoint. Pass this toolset directly into the toolsets parameter of your Pydantic AI agent.

Q: Does the Celoscan (Celo Network Explorer) toolset validate balance outputs in Pydantic AI?

Yes, the tool outputs from getaccountbalance are validated at runtime. If the server returns something other than the expected balance structure, Pydantic AI flags the error instantly.

Q: How does the agent check if a contract is verified?

Your agent calls getcontractsourcecode. If the contract is not verified, the tool returns an error or empty source code, which your agent handles according to your Pydantic validation rules.

Query Celo blockchain data with strict runtime validation using Pydantic AI and this dedicated MCP Server.

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Connect Celoscan (Celo Network Explorer) MCP to Pydantic AI

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Setup Celoscan (Celo Network Explorer) with Pydantic AI

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Type-safe balance and supply tracking

This MCP server lets your agent query `get_account_balance` and `get_erc20_token_supply` with guaranteed type safety. The Pydantic AI framework validates the returned balances and supply figures at runtime against strict schemas. If the API returns an unexpected format or a null value, the framework raises a validation error immediately. This prevents your agent from performing math on corrupted financial data.

Validate contract ABIs in Pydantic AI

The server provides `get_contract_abi` to fetch interface structures for verified Celo contracts. Your agent parses this JSON payload and validates it against your internal Pydantic models. This ensures that any contract interaction code generated by your agent conforms exactly to the verified ABI. You avoid runtime contract execution errors caused by malformed parameters.

Audit token transfers with zero silent failures

Use `get_erc20_transfers` and `get_erc20_token_balance` to track token velocity and account holdings. The server returns structured transfer logs that your agent parses into typed data structures. Because Pydantic AI enforces schema validation on every tool output, your agent will never process a partial or malformed transfer log. You get absolute reliability when tracking financial events.

Setup guide

Set up Celoscan (Celo Network 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": {
        "celoscan-celo-network-explorer-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Celoscan (Celo Network Explorer) transactions")
print(result.output)

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Common questions about Celoscan (Celo Network Explorer) MCP in Pydantic AI

Install pydantic-ai-slim[mcp] and initialize the MCP toolset with your Vinkius HTTP endpoint. Pass this toolset directly into the toolsets parameter of your Pydantic AI agent.

Yes, the tool outputs from `get_account_balance` are validated at runtime. If the server returns something other than the expected balance structure, Pydantic AI flags the error instantly.

Yes, the toolset is completely model-agnostic. You can use it with local models or commercial APIs while maintaining full type safety for all Celo network queries.

Your agent calls `get_contract_source_code`. If the contract is not verified, the tool returns an error or empty source code, which your agent handles according to your Pydantic validation rules.

Yes, only the public blockchain addresses, transaction hashes, and contract ABIs you explicitly query are passed to the server. These queries are executed within a zero-trust, ephemeral sandbox environment.

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