How to Use the Griffin MCP in OpenAI Agents SDK

Q: Can Griffin handle high-volume transaction history for my OpenAI Agents SDK agent?

Yes, you use listtransactions to pull data directly into your agent's context. The system is built to handle large datasets while maintaining performance through streamable HTTP.

Q: What specific user data does Griffin expose to my agent?

The server exposes identity data via getme and organizational details through getorganization. This data is ephemeral, existing only within the agent's active memory during the session.

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Connect Griffin MCP to OpenAI Agents SDK

Create your Vinkius account to connect Griffin to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Griffin with OpenAI Agents SDK

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Automate ledger operations with OpenAI Agents SDK

Your agent connects to the Griffin API to handle internal transfers and account monitoring. By using `create_internal_transfer` and `list_accounts` within your pipeline, you stop manual bookkeeping tasks for good. Safety matters in production, so the SDK validates every action. It ensures your agent only executes authorized calls while maintaining a full trace of every `get_transaction` request in your dashboard.

Real-time KYC and verification tracking

Stop chasing status updates across portals. Your agent pulls `list_verifications` and `get_verification` data directly, giving your team an instant pulse on onboarding progress. When compliance requires context, the agent provides precise data. It links verification status to specific organizations, ensuring the information you see is current.

Connect Griffin to your agent ecosystem

The MCP Server handles authentication so your agent stays focused on logic. It exposes `get_me` and `get_organization` tools to establish context before performing sensitive operations. Caching the tool list improves response times during high-volume requests. Your agent discovers these endpoints automatically, meaning you spend less time wiring up connections and more time building.

Setup guide

Set up Griffin MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Griffin tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Griffin tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Griffin tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Griffin Agent",
            instructions="You have access to Griffin tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Griffin MCP in OpenAI Agents SDK

You handle authentication via a single endpoint token provided by Vinkius. The MCP Server ensures all requests reach Griffin securely, keeping your credentials out of the agent logic.

Yes, you use `list_transactions` to pull data directly into your agent's context. The system is built to handle large datasets while maintaining performance through streamable HTTP.

The server maps API responses to expected schemas. If Griffin sends unexpected payloads, your agent logs the discrepancy immediately, preventing bad data from entering your ledger.

It does. You can pass the toolset across different agents, allowing specialized workers to handle specific tasks like account reconciliation or payee management.

The server exposes identity data via `get_me` and organizational details through `get_organization`. This data is ephemeral, existing only within the agent's active memory during the session.

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