Compatible with every major AI agent and IDE
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Privy App ID and App Secret
- Start managing your Web3 identity and wallet infrastructure from Claude, Cursor, or any MCP client
Who is this for?
- Web3 Developers — quickly inspect user accounts or provision test wallets without leaving the code editor.
- Product Managers — search for user profiles and verify linked accounts or wallet statuses during support or planning.
- DevOps & Security — automate user lifecycle management and wallet policy updates via a conversational interface.
Built-in capabilities (12)
Batch create wallets
Create a new user object with linked accounts
Create a new wallet
Delete a user
Get a transaction
Get a transaction by external ID
Get a user by ID
Get a user by email address
Get wallet details
Search for users
Update a wallet
Perform a wallet RPC action
Why Pydantic AI?
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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Privy integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Privy connection logic from agent behavior for testable, maintainable code
Privy in Pydantic AI
Privy and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Privy to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Privy in Pydantic AI
The Privy 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Privy for Pydantic AI
Every tool call from Pydantic AI to the Privy MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I find a user if I only have their email address?
Yes. You can use the get_user_by_email tool to retrieve the full user object and linked accounts associated with that specific email address.
Is it possible to create multiple wallets for a large group of users at once?
Absolutely. The batch_create_wallets tool allows you to create up to 100 wallets in a single request, which is ideal for bulk onboarding or migration tasks.
Can the AI agent perform transactions on behalf of a wallet?
Yes, using the wallet_rpc tool. You can specify the wallet_id and the RPC method (like eth_sendTransaction) to execute blockchain actions through Privy's infrastructure.
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.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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