Can I test money flows safely without losing real funds?

Absolutely. Increase has a top-tier sandbox environment. In your MCP settings, pass a Sandbox API Key (starting with `sk_test_`) and optionally set the environment to 'sandbox'. We even implemented literal tool overrides like `increase_simulate_inbound_ach` which are intentionally restricted exclusively to simulating inbound events on your test environment.

Does adding a new account via the Agent require paperwork?

No! Assuming your global LLC has already passed initial onboarding and your Entity object handles compliance, any subsequent programmatic calls to `increase_create_account` yield a fully compliant sub-ledger and associated numbers instantaneously contextually within the UI chat responses.

What is the difference between ACH and Wire transfer arrays here?

ACH acts through clearing houses taking normally 1-3 business days suited perfectly for non-urgent vendor mass payouts (`create_ach`). Wire transfers (`create_wire`) tie directly to Fedwire routing logic hitting banks internally within minutes - often bearing a slight static fee. Dictate which the bot should invoke based on liquidity needs.

How can I trace a specific payment?

We've added `increase_list_transactions` to handle historical booked transfers strictly by ID limits, exposing whether money cleared Fed limits safely.

Increase MCP Server for AutoGen 12 tools — connect in under 2 minutes

Name: Increase
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Increase as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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 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="increase_agent",
            tools=tools,
            system_message=(
                "You help users with Increase. "
                "12 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Increase MCP Server

The Increase MCP Server connects AI to a physical, fully compliant commercial US bank built explicitly top-down for programmatic transactions.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Increase 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

Endless Provisioning — Instantly generate new live bank accounts increase_create_account acting as sub-ledgers, enabling separate balances.
Open Payment Rails — Need to inject funds into a supplier directly using native American payment streams? Use increase_create_ach or sweep high-value overnight increase_create_wire securely.
Simulation Environment — Use Sandbox arrays to trigger simulated money hits increase_simulate_inbound_ach checking if an external agent script validates receiving deposits before going to production.

The Increase MCP Server exposes 12 tools through the Vinkius. Connect it to AutoGen 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 Increase to AutoGen via MCP

Follow these steps to integrate the Increase MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 12 tools from Increase automatically

Why Use AutoGen with the Increase MCP Server

AutoGen provides unique advantages when paired with Increase through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Increase tools to solve complex tasks

Role-based architecture lets you assign Increase 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 Increase tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Increase tool responses in an isolated environment

Increase + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Increase MCP Server delivers measurable value.

Collaborative analysis: one agent queries Increase while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Increase, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Increase data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Increase responses in a sandboxed execution environment

Increase MCP Tools for AutoGen (12)

These 12 tools become available when you connect Increase to AutoGen via MCP:

increase_create_account

Spin up a new Bank Account programmatically

increase_create_ach

Push an outbound ACH transfer to any US Bank

increase_create_card

Issue a physical/virtual debit card attached to an account

increase_create_routing_number

Generate new ABA routing & account number data

increase_create_wire

Send a same-day US Wire transfer

increase_get_balance

Fetch realtime ledger balance for a specific account

increase_list_accounts

List all sub-accounts under your charter

increase_list_cards

Sweep the active array of issued Cards

increase_list_transactions

Financial history extraction (Booked)

increase_list_transfers

Audit outbound transfers

increase_simulate_inbound_ach

Simulate receiving an ACH inbound (SANDBOX ONLY)

increase_simulate_inbound_wire

Simulate receiving a Wire inbound (SANDBOX ONLY)

Example Prompts for Increase in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Increase immediately.

"Use our main test routing sandbox mechanism to simulate inbound an external payload of $1000 into Account ID 'acc_1234'."

"Audit our entire open accounts layout right now."

"Spin up a new fresh physical corporate banking account dedicated uniquely to 'Server Spends'. Send the Routing number to me."

Troubleshooting Increase MCP Server with AutoGen

Common issues when connecting Increase to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Increase + AutoGen FAQ

Common questions about integrating Increase MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Increase tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.