How do I find my Mambu API Key?

Log in to your Mambu administration panel, go to Administration > Access > API Keys. There you can generate or copy your existing API key.

What is the subdomain?

The subdomain is the first part of your Mambu URL. For example, if your URL is 'vinkius.mambu.com', your subdomain is 'vinkius'.

Mambu MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Name: Mambu
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Mambu through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Mambu "
            "(11 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Mambu?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Mambu MCP Server

The Mambu MCP server allows you to interact with your Mambu tenant. You can list and get details for clients, loan accounts, deposit accounts, transactions, tasks, activities, and communications. This integration uses the Mambu v2 REST API to provide a seamless experience for managing your banking operations. Your token is encrypted at rest and injected securely at runtime.

Pydantic AI validates every Mambu tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through the 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.

The Mambu MCP Server exposes 11 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Mambu to Pydantic AI via MCP

Follow these steps to integrate the Mambu MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 11 tools from Mambu with type-safe schemas

Why Use Pydantic AI with the Mambu MCP Server

Pydantic AI provides unique advantages when paired with Mambu through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Mambu integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Mambu connection logic from agent behavior for testable, maintainable code

Mambu + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Mambu MCP Server delivers measurable value.

Type-safe data pipelines: query Mambu with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Mambu tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Mambu and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Mambu responses and write comprehensive agent tests

Mambu MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Mambu to Pydantic AI via MCP:

get_client

Get details for a specific Mambu client

get_deposit_account

Get details for a specific Mambu deposit account

get_loan_account

Get details for a specific Mambu loan account

get_task

Get details for a specific Mambu task

list_activities

List Mambu activities

list_clients

List Mambu clients

list_communications

List Mambu communications

list_deposit_accounts

List Mambu deposit accounts

list_loan_accounts

List Mambu loan accounts

list_tasks

List Mambu tasks

list_transactions

List Mambu transactions

Example Prompts for Mambu in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Mambu immediately.

"List all clients in Mambu"

"Show details for client with ID 12345"

"List my tasks in Mambu"

Troubleshooting Mambu MCP Server with Pydantic AI

Common issues when connecting Mambu to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Mambu + Pydantic AI FAQ

Common questions about integrating Mambu MCP Server with Pydantic AI.

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 Mambu MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.