Bring Baas
to Pydantic AI
Create your Vinkius account to connect Swan to Pydantic AI and start using all 9 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Swan MCP Server?
The Swan MCP Server embeds a complete European Banking-as-a-Service architecture into Vinkius LLMs.
What you can do
- Automated Root Provisioning — Instantly spin up local branch operations allocating FRA or ESP IBAN formats through
swan_create_account. - Card Administration — Ask the agent to generate custom virtual Mastercards assigned exclusively to distinct contractors utilizing
swan_add_virtual_card. - Direct SEPA Execution — Move exact funds safely parsing external creditor data natively through
swan_create_sepa_transferdirectly across European networks.
How it works
- Login to your Swan Partner dashboard.
- In Developer Settings, forge a Project Access Token granting server-to-server structural authority.
- Bind the token securely into Vinkius and set the 'sandbox' environment flag explicitly if performing simulation sweeps.
Who is this for?
- Agile Fintechs — Embed full neobank ledgers natively.
- Corporate Orchestrators — Distribute vendor cards programmatically mitigating manual issuance risks.
Built-in capabilities (9)
Provisions a robust Mastercard Virtual Debit
Permanently cancel a specific corporate card
Requires an existing AccountHolderId. Dynamically provision a European Account under your ledger
Initiate a standard European SEPA Credit Transfer
List all operational Swan Bank Accounts/IBANs
Fetch overarching details about your connected Swan Project Node
Retrieve the ledger history for a specific Account
List all physical and virtual cards
Sandbox Only - Inject fake money
Why Pydantic AI?
Pydantic AI validates every Swan tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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.
- —
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 Swan integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
- —
Dependency injection system cleanly separates your Swan connection logic from agent behavior for testable, maintainable code
Swan in Pydantic AI
Why run Swan with Vinkius?
The Swan connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 9 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Swan using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Swan and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Swan to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Swan for Pydantic AI
Every request between Pydantic AI and Swan is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Are actions simulated or operating live on real Ledgers?
If you inject your core Project Access Token with full production permissions and leave the env string off sandbox, yes! It executes heavy Core Banking GraphQL mutations that immediately provision legally compliant EU ledgers behind the scenes.
Can the AI Agent manage physical or virtual credit cards?
Yes. Via swan_add_virtual_card and swan_cancel_card the LLM has complete programmatic control over debit and spend cards mapped to underlying accounts.
Does the system support sandbox incoming money simulation?
Yes! We expose the swan_simulate_incoming_transfer specifically so you can test your programmatic workflows in SandBox by pushing fake money into target ledgers.
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 Swan 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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