Mercury MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 8 tools to Get Account, Get Balance, List Accounts, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Mercury through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Mercury app connector for OpenAI Agents SDK is a standout in the Money Moves category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Mercury Assistant",
instructions=(
"You help users interact with Mercury. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Mercury"
)
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 Mercury MCP Server
Connect your Mercury banking account to any AI agent and manage startup finances through natural conversation.
The OpenAI Agents SDK auto-discovers all 8 tools from Mercury through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Mercury, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Account Management — Access balances across all checking and savings accounts
- Transactions — Browse and filter recent transactions and transfers
- Statements — Retrieve monthly account statements
- Cash Flow — Track incoming revenue and outgoing expenses
- Recipient Management — Access saved wire and ACH recipients
The Mercury MCP Server exposes 8 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.
All 8 Mercury tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Mercury through Vinkius, your AI agent gets direct access to every tool listed below — spanning business-banking, financial-automation, transaction-reconciliation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get details for a specific Mercury account
Get account balance
List Mercury bank accounts
List Mercury debit cards
List invoicing customers
List account receivable invoices
List payment recipients
List transactions for an account
Connect Mercury to OpenAI Agents SDK via MCP
Follow these steps to wire Mercury into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Mercury MCP Server
OpenAI Agents SDK provides unique advantages when paired with Mercury 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
Mercury + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Mercury MCP Server delivers measurable value.
Automated workflows: build agents that query Mercury, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Mercury, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Mercury tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Mercury to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Mercury in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Mercury immediately.
"Show my current balances for all accounts."
"List all outgoing transactions over $1,000 from last week."
"Get total revenue received this month."
Troubleshooting Mercury MCP Server with OpenAI Agents SDK
Common issues when connecting Mercury to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Mercury + OpenAI Agents SDK FAQ
Common questions about integrating Mercury 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.