Blockchain.com Data MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Blockchain.com Data through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Blockchain.com Data "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Blockchain.com Data?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Blockchain.com Data MCP Server
Connect your AI agent to the Blockchain.com Data API and orchestrate your cryptocurrency and blockchain analysis workflows through natural conversation.
Pydantic AI validates every Blockchain.com Data tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Block Oversight — Retrieve details for the latest or specific Bitcoin blocks including height and hashes.
- Transaction Auditing — Query and inspect individual transactions to verify payments and mempool status.
- Address Intelligence — Monitor balances and transaction histories for any public Bitcoin address.
- Market Insights — Access real-time BTC ticker prices across various fiat currencies and historical market charts.
- Network Health — Retrieve general Bitcoin network statistics, including difficulty and total block count.
- Mempool Monitoring — Get real-time stats on the memory pool to track pending network load.
The Blockchain.com Data MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Blockchain.com Data to Pydantic AI via MCP
Follow these steps to integrate the Blockchain.com Data MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Blockchain.com Data with type-safe schemas
Why Use Pydantic AI with the Blockchain.com Data MCP Server
Pydantic AI provides unique advantages when paired with Blockchain.com Data through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Blockchain.com Data integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Blockchain.com Data connection logic from agent behavior for testable, maintainable code
Blockchain.com Data + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Blockchain.com Data MCP Server delivers measurable value.
Type-safe data pipelines: query Blockchain.com Data with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Blockchain.com Data tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Blockchain.com Data and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Blockchain.com Data responses and write comprehensive agent tests
Blockchain.com Data MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Blockchain.com Data to Pydantic AI via MCP:
get_address
Get balance and transaction history for a Bitcoin address
get_block
Get details of a specific block by hash
get_block_count
Get the current total block count (height)
get_chart
Retrieve historical chart data (e.g. market-price, n-transactions)
get_latest_block
Get details of the latest Bitcoin block
get_mempool_stats
Get current mempool statistics
get_network_stats
Get general Bitcoin network statistics
get_ticker
Get current BTC prices in various fiat currencies
get_transaction
Get details of a specific transaction by hash
list_unconfirmed_transactions
List current unconfirmed transactions in the mempool
Example Prompts for Blockchain.com Data in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Blockchain.com Data immediately.
"Check the balance for Bitcoin address 1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa."
"Show me the latest block hash and height."
"What's the current market price of Bitcoin?"
Troubleshooting Blockchain.com Data MCP Server with Pydantic AI
Common issues when connecting Blockchain.com Data to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiBlockchain.com Data + Pydantic AI FAQ
Common questions about integrating Blockchain.com Data MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Blockchain.com Data with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Blockchain.com Data to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.