How to Use the Ankr (Web3 Node API) MCP in Pydantic AI
Build type-safe Web3 agents with Pydantic AI that validate blockchain data against strict schemas at runtime.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Ankr (Web3 Node API) MCP to Pydantic AI
Create your Vinkius account to connect Ankr (Web3 Node API) 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.
Validate multi-chain balances with Pydantic AI
The `eth_getBalance` tool retrieves the exact native balance of any Ethereum address. Pydantic AI immediately validates this numeric value against your strict Python models to prevent type mismatches. For ERC-20 tokens, `ankr_getAccountBalance` returns structured list data. If the API format changes, your agent raises a validation error instantly instead of passing corrupt data to downstream functions.
Simulate transactions safely using this MCP Server
The `eth_simulateV1` tool runs complex transaction simulations before you commit gas. Your agent parses the simulation results into strongly-typed Pydantic schemas to verify state changes. Use `simulateTransaction` for Solana-based workflows. This ensures your code catches execution failures and invalid instructions before they ever touch the live mainnet.
Fetch verified token market data and transfer logs
The `ankr_getTokenPrice` tool returns the current USD price of any supported token. Your agent uses this to calculate portfolio values with guaranteed runtime type safety. Combine this with `ankr_getTokenTransfers` to audit historical movements. The structured outputs map directly to your Python data classes, making financial reporting code clean and predictable.
Set up Ankr (Web3 Node API) 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": {
"ankr-web3-node-api-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Ankr (Web3 Node API) tools.",
)
result = await agent.run("List recent Ankr (Web3 Node API) 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 Ankr. 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 Ankr (Web3 Node API) MCP in Pydantic AI
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