QuickNode MCP Server for Pydantic AIGive Pydantic AI instant access to 18 tools to Create Kv List, Create Kv Set, Create Stream, and more

Name: QuickNode
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect QuickNode through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The QuickNode MCP Server for Pydantic AI is a standout in the Ship It category — giving your AI agent 18 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

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 QuickNode "
            "(18 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in QuickNode?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 QuickNode MCP Server

Connect your QuickNode account to any AI agent to orchestrate Web3 infrastructure through natural language. This server provides a comprehensive suite of tools to manage high-performance blockchain data pipelines and queries.

Pydantic AI validates every QuickNode tool response against typed schemas, catching data inconsistencies at build time. Connect 18 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

Streams Management — Create, list, and update real-time data streams for historical and live blockchain ingestion using create_stream and list_streams.
Webhooks — Deploy webhooks from templates (like EVM wallet filters or contract events) to deliver real-time events to your HTTP endpoints via create_webhook.
KV Store — Manage key-value pairs and lists to power advanced server-side filtering logic for your streams using create_kv_list and create_kv_set.
Core RPC — Access fundamental blockchain data, such as retrieving the most recent block number using rpc_eth_blocknumber.

The QuickNode MCP Server exposes 18 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 18 QuickNode tools available for Pydantic AI

When Pydantic AI connects to QuickNode through Vinkius, your AI agent gets direct access to every tool listed below — spanning web3, ethereum, rpc, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create kv list on QuickNode

Create a new KV Store list

create

Create kv set on QuickNode

Create a KV Store key-value pair

create

Create stream on QuickNode

Create a new QuickNode stream

create

Create webhook on QuickNode

Create a webhook from a template

delete

Delete kv set on QuickNode

Delete a KV Store key-value pair

delete

Delete stream on QuickNode

Delete a QuickNode stream

delete

Delete webhook on QuickNode

Delete a QuickNode webhook

get

Get kv list on QuickNode

Retrieve items from a KV Store list

get

Get kv set on QuickNode

Retrieve a value from KV Store sets

get

Get stream on QuickNode

Retrieve details of a specific QuickNode stream

list

List streams on QuickNode

List all active QuickNode streams

list

List webhooks on QuickNode

Retrieve all QuickNode webhooks

rpc

Rpc eth blocknumber on QuickNode

Returns the number of the most recent block

rpc

Rpc eth call on QuickNode

Executes a new message call immediately without creating a transaction

rpc

Rpc eth getlogs on QuickNode

Returns an array of all logs matching a given filter object

rpc

Rpc eth gettransactionreceipt on QuickNode

Returns the receipt of a transaction by hash

update

Update kv list on QuickNode

Add or remove items from a KV Store list

update

Update stream on QuickNode

Update an existing QuickNode stream

Connect QuickNode to Pydantic AI via MCP

Follow these steps to wire QuickNode into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 18 tools from QuickNode with type-safe schemas

Why Use Pydantic AI with the QuickNode MCP Server

Pydantic AI provides unique advantages when paired with QuickNode 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 QuickNode integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your QuickNode connection logic from agent behavior for testable, maintainable code

QuickNode + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the QuickNode MCP Server delivers measurable value.

Type-safe data pipelines: query QuickNode with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple QuickNode tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query QuickNode and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock QuickNode responses and write comprehensive agent tests

Example Prompts for QuickNode in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with QuickNode immediately.

"List all my active QuickNode streams."

"Create a new webhook for EVM wallet filtering using the template 'evmWalletFilter'."

"What is the current block number on the network?"

Troubleshooting QuickNode MCP Server with Pydantic AI

Common issues when connecting QuickNode to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

QuickNode + Pydantic AI FAQ

Common questions about integrating QuickNode MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your QuickNode MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.