Increase MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Increase through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Increase Assistant",
instructions=(
"You help users interact with Increase. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Increase"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 12 tools from Increase through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Increase, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Endless Provisioning — Instantly generate new live bank accounts
increase_create_accountacting 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_achor sweep high-value overnightincrease_create_wiresecurely. - Simulation Environment — Use Sandbox arrays to trigger simulated money hits
increase_simulate_inbound_achchecking 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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Increase MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Increase
Why Use OpenAI Agents SDK with the Increase MCP Server
OpenAI Agents SDK provides unique advantages when paired with Increase through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Increase + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Increase MCP Server delivers measurable value.
Automated workflows: build agents that query Increase, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Increase, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Increase tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Increase to resolve tickets, look up records, and update statuses without human intervention
Increase MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Increase to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Increase to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Increase + OpenAI Agents SDK FAQ
Common questions about integrating Increase MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Increase with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Increase to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
