Privy MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Batch Create Wallets, Create User, Create Wallet, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Privy through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The Privy MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Privy Assistant",
instructions=(
"You help users interact with Privy. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Privy"
)
print(result.final_output)
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 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.
The OpenAI Agents SDK auto-discovers all 12 tools from Privy through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Privy, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK
When OpenAI Agents SDK 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 create wallets on Privy
Batch create wallets
Create user on Privy
Create a new user object with linked accounts
Create wallet on Privy
Create a new wallet
Delete user on Privy
Delete a user
Get transaction on Privy
Get a transaction
Get transaction by external id on Privy
Get a transaction by external ID
Get user on Privy
Get a user by ID
Get user by email on Privy
Get a user by email address
Get wallet on Privy
Get wallet details
Search users on Privy
Search for users
Update wallet on Privy
Update a wallet
Wallet rpc on Privy
Perform a wallet RPC action
Connect Privy to OpenAI Agents SDK via MCP
Follow these steps to wire Privy into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Privy MCP Server
OpenAI Agents SDK provides unique advantages when paired with Privy through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Privy + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Privy MCP Server delivers measurable value.
Automated workflows: build agents that query Privy, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Privy, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Privy tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Privy to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Privy in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Privy to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Privy + OpenAI Agents SDK FAQ
Common questions about integrating Privy MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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