Privy MCP Server for AutoGenGive AutoGen instant access to 12 tools to Batch Create Wallets, Create User, Create Wallet, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Privy as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The Privy MCP Server for AutoGen 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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="privy_agent",
tools=tools,
system_message=(
"You help users with Privy. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Privy tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 AutoGen via MCP
Follow these steps to wire Privy into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Privy MCP Server
AutoGen provides unique advantages when paired with Privy through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Privy tools to solve complex tasks
Role-based architecture lets you assign Privy tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Privy tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Privy tool responses in an isolated environment
Privy + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Privy MCP Server delivers measurable value.
Collaborative analysis: one agent queries Privy while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Privy, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Privy data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Privy responses in a sandboxed execution environment
Example Prompts for Privy in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Privy to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Privy + AutoGen FAQ
Common questions about integrating Privy MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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