Compatible with every major AI agent and IDE
What is the Dwolla MCP Server?
Connect your Dwolla account to any AI agent and take full control of your payment infrastructure through natural conversation.
What you can do
- Customer Management — Create, list, and update individual or business customers directly from the chat
- Funding Sources — Link bank accounts or balances and manage them for specific customers or your main account
- Transfer Orchestration — Initiate and track transfers between funding sources with full visibility of the transaction lifecycle
- Verification Workflows — Handle micro-deposit verification to ensure secure bank account linking
- Account Insights — Retrieve organizational account details and funding source statuses instantly
How it works
- Subscribe to this server
- Enter your Dwolla Access Token and Environment (sandbox or production)
- Start managing your fintech operations from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Fintech Developers — test payment flows and verify customer data without leaving the IDE
- Operations Teams — monitor transfer statuses and manage customer records through simple queries
- Product Managers — audit funding sources and account balances during development cycles
Built-in capabilities (30)
Cancel a pending transfer
Create a beneficial owner for a business customer
Create a new customer
Create a funding source for a customer
Create a document for a customer
Create a funding source
Create a label for a customer
Create a webhook subscription
Retrieve Dwolla account details
Retrieve a customer
Retrieve a document
Retrieve an event
Retrieve a funding source
Retrieve a mass payment
Retrieve a transfer
Initiate a KBA session for a customer
Initiate a mass payment
Requires HAL _links in the payload. Initiate a transfer
List funding sources for an account
List transfers for an account
List beneficial owners for a customer
List or search customers
List events
List labels for a customer
List webhook subscriptions
Retry a webhook
Update a customer
g., passing { removed: true }). Update or remove a funding source
Verify KBA answers
Verify micro-deposits for a funding source
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Dwolla tool infrastructure. Connect 30 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Dwolla without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Dwolla tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Dwolla in Mastra AI
Dwolla and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Dwolla to Mastra 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 Dwolla in Mastra AI
The Dwolla 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 30 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra 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
Dwolla for Mastra AI
Every tool call from Mastra AI to the Dwolla MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I verify a bank account using micro-deposits?
Use the verify_micro_deposits tool by providing the Funding Source ID and the two deposit amounts. This ensures the bank account is active and owned by the customer.
Can I create a new customer directly through the AI?
Yes! Use the create_customer tool with a JSON payload containing the customer's details like firstName, lastName, and email.
How can I see the history of transfers for my organization?
You can use the list_account_transfers tool with your Account ID to retrieve all recent and past fund movements associated with your Dwolla account.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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