Alchemy MCP Server for Pydantic AI 6 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Alchemy through 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 Alchemy "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in Alchemy?"
)
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 Alchemy MCP Server
Empower your AI agent to orchestrate your entire web3 research and blockchain auditing workflow with Alchemy, the comprehensive platform for decentralized data. By connecting Alchemy to your agent, you transform complex RPC querying into a natural conversation. Your agent can instantly retrieve wallet balances, audit NFT ownership, and query transaction receipts without you ever touching a block explorer. Whether you are conducting investment research or monitoring digital assets, your agent acts as a real-time blockchain analyst, ensuring your data is always precise and up-to-the-minute.
Pydantic AI validates every Alchemy tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through 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
- Wallet Auditing — Retrieve high-resolution balances for any Ethereum or compatible address, including native and ERC-20 tokens.
- NFT Oversight — Audit the NFT collection for specific owners to maintain a clear view of digital asset distribution and metadata.
- Transaction Intelligence — Query real-time transaction receipts to understand the status and outcome of blockchain events instantly.
- Network Discovery — Retrieve the latest block numbers to assist in regional and temporal blockchain planning.
- Operational Monitoring — Check API status to ensure your web3 research workflow is always operational across supported networks.
The Alchemy MCP Server exposes 6 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 Alchemy to Pydantic AI via MCP
Follow these steps to integrate the Alchemy 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 6 tools from Alchemy with type-safe schemas
Why Use Pydantic AI with the Alchemy MCP Server
Pydantic AI provides unique advantages when paired with Alchemy 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 Alchemy integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Alchemy connection logic from agent behavior for testable, maintainable code
Alchemy + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Alchemy MCP Server delivers measurable value.
Type-safe data pipelines: query Alchemy with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Alchemy tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Alchemy and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Alchemy responses and write comprehensive agent tests
Alchemy MCP Tools for Pydantic AI (6)
These 6 tools become available when you connect Alchemy to Pydantic AI via MCP:
check_api_status
Check if the Alchemy service is operational
get_latest_block_number
Get the number of the most recent block
get_owned_nfts
Get all NFTs owned by a specific address
get_token_balances
Get all ERC-20 token balances for a specific address
get_transaction_receipt
Get the receipt of a transaction by hash
get_wallet_balance
Get the balance of an Ethereum address in wei
Example Prompts for Alchemy in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Alchemy immediately.
"What is the balance of Ethereum address '0x123...' using Alchemy?"
"Show all NFTs owned by '0x456...'."
"What is the latest block number on 'eth-mainnet'?"
Troubleshooting Alchemy MCP Server with Pydantic AI
Common issues when connecting Alchemy to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAlchemy + Pydantic AI FAQ
Common questions about integrating Alchemy 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 Alchemy 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 Alchemy to Pydantic AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.