How to Use the Advice Slip MCP in OpenAI Agents SDK

Q: How do I connect the Advice Slip MCP Server to my OpenAI Agents SDK pipeline?

Install the SDK and instantiate MCPServerStreamableHttp pointing to the Vinkius endpoint. Pass this server instance in the mcpservers list when creating your Agent. The SDK auto-discovers the tools immediately.

Q: Can my OpenAI Agents SDK setup cache the Advice Slip tools?

Yes. Set cacheToolsList=True in your configuration to avoid fetching the tool definitions on every turn. This reduces latency when your agent decides to call getrandomadvice.

Q: What happens if the search tool returns no results?

The searchadvice tool returns a clean message indicating no advice matched the keyword. Your agent receives this payload and can adjust its search term or inform the user directly.

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Connect Advice Slip MCP to OpenAI Agents SDK

Create your Vinkius account to connect Advice Slip 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 Advice Slip with OpenAI Agents SDK

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Pull Random Slips in OpenAI Agents SDK

The `get_random_advice` tool pulls a single, random piece of advice directly into your agent's execution context. This tool gives your production agents instant access to life tips without you writing any custom fetch logic. Your agent auto-discovers the tool when you pass the MCP server configuration. The SDK handles the raw HTTP stream behind the scenes, feeding the clean text payload straight to the LLM.

Targeted Advice Retrieval by ID

The `get_advice_by_id` tool fetches a specific piece of advice using its unique database identifier. If your agent needs to reference an exact piece of wisdom across multiple conversational turns, this tool provides the direct lookup. OpenAI's tracing dashboard records the exact ID requested and the returned payload. You see exactly what advice your agent received during the run, making debugging straightforward.

Keyword Search for Contextual Wisdom

The `search_advice` tool queries the advice database using text keywords to find relevant slips. When your agent detects a specific user problem, it uses this tool to find matching guidance. Built-in guardrails in the SDK validate the search parameters before execution. This prevents the agent from sending malformed queries to the Advice Slip MCP Server.

Setup guide

Set up Advice Slip 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 Advice Slip tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Advice Slip 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="Advice Slip Agent",
            instructions="You have access to Advice Slip tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Advice Slip. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Advice Slip MCP in OpenAI Agents SDK

Install the SDK and instantiate `MCPServerStreamableHttp` pointing to the Vinkius endpoint. Pass this server instance in the `mcp_servers` list when creating your Agent. The SDK auto-discovers the tools immediately.

Yes. Set `cacheToolsList=True` in your configuration to avoid fetching the tool definitions on every turn. This reduces latency when your agent decides to call `get_random_advice`.

Yes, the framework handles this naturally. You can have a specialized triage agent route the user's query to a dedicated advice agent that has access to the `search_advice` tool. The SDK handles the transition and tool execution context without losing state.

The `search_advice` tool returns a clean message indicating no advice matched the keyword. Your agent receives this payload and can adjust its search term or inform the user directly.

The MCP server only processes the specific search queries and advice IDs your agent sends. Vinkius runs this in a zero-trust sandbox, meaning no personal identifiers or raw chat histories are ever stored or exposed to external networks.

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