Railz 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 Railz 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="Railz Assistant",
instructions=(
"You help users interact with Railz. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Railz"
)
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 Railz MCP Server
Empower your AI agent to access normalized financial data from various accounting, banking, and commerce platforms with Railz. By connecting Railz to your agent, you transform complex financial auditing into a natural conversation. Your agent can instantly list businesses, audit invoices, and retrieve deep financial reports like Balance Sheets and P&L statements without you ever touching a dashboard. Whether you are managing multiple client accounts or a single corporate entity, your agent acts as a real-time financial analyst, ensuring your data is always accessible and structured.
The OpenAI Agents SDK auto-discovers all 12 tools from Railz through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Railz, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Business Directory — List all registered businesses in your Railz account and inspect their specific metadata.
- Connection Auditing — Monitor active service provider connections (QuickBooks, Xero, Shopify, etc.) for any business entity.
- Financial Reporting — Fetch real-time, normalized reports including Balance Sheets, Profit & Loss, and Cash Flow statements.
- Invoice & Bill Management — Query and analyze accounts receivable (invoices) and accounts payable (bills) across multiple providers.
- Commerce Insights — Access sales orders and transaction data from connected commerce platforms to track revenue trends.
The Railz 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 Railz to OpenAI Agents SDK via MCP
Follow these steps to integrate the Railz 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 Railz
Why Use OpenAI Agents SDK with the Railz MCP Server
OpenAI Agents SDK provides unique advantages when paired with Railz 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
Railz + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Railz MCP Server delivers measurable value.
Automated workflows: build agents that query Railz, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Railz, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Railz tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Railz to resolve tickets, look up records, and update statuses without human intervention
Railz MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Railz to OpenAI Agents SDK via MCP:
get_balance_sheet
Get balance sheet report
get_business
Get details for a specific business
get_cash_flow
Get cash flow statement
get_profit_and_loss
Get profit and loss report
list_accounts
List chart of accounts
list_bank_transactions
List bank transactions
list_bills
List bills for a business
list_businesses
List all businesses in Railz
list_commerce_orders
g., Shopify, BigCommerce). List commerce orders
list_connections
g., QuickBooks, Xero) for a given business. List connections for a business
list_invoices
List invoices for a business
list_journal_entries
List journal entries
Example Prompts for Railz in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Railz immediately.
"List all businesses registered in my Railz account."
"Show active connections for business 'biz_123'."
"Get the Profit and Loss report for connection 'conn_456'."
Troubleshooting Railz MCP Server with OpenAI Agents SDK
Common issues when connecting Railz to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Railz + OpenAI Agents SDK FAQ
Common questions about integrating Railz 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 Railz 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 Railz to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.