How to Use the Blockchain.com Data MCP in Pydantic AI

Q: How do I initialize the Blockchain.com Data toolset in Pydantic AI?

Install the MCP client library, then use MCPToolset with the HTTP endpoint. Pass this toolset directly into your agent's toolsets list.

Run type-safe Bitcoin ledger queries in Pydantic AI with this managed MCP Server.

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Connect Blockchain.com Data MCP to Pydantic AI

Create your Vinkius account to connect Blockchain.com Data 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 Blockchain.com Data with Pydantic AI

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Type-Safe Bitcoin Address Auditing in Pydantic AI

Avoid silent failures when parsing wallet data. Use `get_address` to pull balances and transaction histories, knowing every field is validated against strict Pydantic models. If the API format changes, your code fails immediately instead of passing corrupted data to your agent. This ensures your financial pipelines stay predictable.

Validate Block Heights and Network Stats

Keep your local block trackers accurate. Let your agent call `get_block_count` and `get_latest_block` to fetch the current state of the Bitcoin network. This MCP toolset converts raw JSON responses into typed Python objects. Your agent can safely extract the exact block height without running into runtime errors.

Monitor Mempool Health with Strict Schemas

Get reliable gas and fee estimates using this MCP integration. Call `get_mempool_stats` to inspect pending transaction counts and average fees before broadcasting. Because Pydantic AI enforces type safety, your agent won't mistake a string for a float when calculating transaction fees. It keeps your automation safe.

Setup guide

Set up Blockchain.com Data 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": {
        "blockchaincom-data-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Blockchain.com Data transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Blockchain.com. 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 Blockchain.com Data MCP in Pydantic AI

Install the MCP client library, then use `MCPToolset` with the HTTP endpoint. Pass this toolset directly into your agent's `toolsets` list.

The agent raises a validation error immediately if payload structures drift. This prevents your agent from making decisions based on malformed blockchain data.

Yes. The framework is model-agnostic, meaning you can run these Bitcoin tools with local models or commercial LLMs.

Yes. You can connect to the server using either Streamable HTTP or SSE transports depending on your network setup.

Yes. All address and transaction queries run through a zero-trust, ephemeral sandbox. No data is stored or logged.

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