Privy MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Batch Create Wallets, Create User, Create Wallet, and more

Name: Privy
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Privy MCP Server for Pydantic AI is a standout in the Developer Tools category — giving your AI agent 12 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 Privy "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<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 Privy MCP Server

Connect your Privy application to any AI agent to streamline user onboarding and wallet management in your Web3 application through natural language.

Pydantic AI validates every Privy tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

User Management — Create new users, search for existing ones by term or email, and retrieve full profile metadata.
Embedded Wallets — Provision new wallets (Ethereum, Solana, Bitcoin, Sui) for your users individually or in batches of up to 100.
Wallet Operations — Update wallet metadata, policies, and ownership, or retrieve specific wallet details via ID.
Blockchain Actions — Execute RPC methods like signing messages or sending transactions directly through managed wallets.
Data Maintenance — Securely delete user records when they are no longer needed.

The Privy MCP Server exposes 12 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 12 Privy tools available for Pydantic AI

When Pydantic AI connects to Privy through Vinkius, your AI agent gets direct access to every tool listed below — spanning web3, embedded-wallets, user-onboarding, 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.

batch

Batch create wallets on Privy

Batch create wallets

create

Create user on Privy

Create a new user object with linked accounts

create

Create wallet on Privy

Create a new wallet

delete

Delete user on Privy

Delete a user

get

Get transaction on Privy

Get a transaction

get

Get transaction by external id on Privy

Get a transaction by external ID

get

Get user on Privy

Get a user by ID

get

Get user by email on Privy

Get a user by email address

get

Get wallet on Privy

Get wallet details

Search users on Privy

Search for users

update

Update wallet on Privy

Update a wallet

wallet

Wallet rpc on Privy

Perform a wallet RPC action

Connect Privy to Pydantic AI via MCP

Follow these steps to wire Privy 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 12 tools from Privy with type-safe schemas

Why Use Pydantic AI with the Privy MCP Server

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

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

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

Privy + Pydantic AI Use Cases

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

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

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

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

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

Example Prompts for Privy in Pydantic AI

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

"Search for users with the term 'beta-tester' in Privy."

"Create a new Ethereum wallet with the display name 'Main Treasury'."

"Get the user details for email 'alice@company.com'."

Troubleshooting Privy MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Privy + Pydantic AI FAQ

Common questions about integrating Privy 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 Privy MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.