How to Use the Craft.io MCP in OpenAI Agents SDK

Q: Can I use Craft.io with OpenAI Agents SDK to track financials?

Yes. The getcompanyfinancials tool pulls data directly into your agent's context window. This lets your code analyze revenue or budget metrics automatically.

Q: Does Craft.io integration for OpenAI Agents SDK support caching?

You should set cacheToolsList=True in your configuration. This caches the tool definitions to speed up your agent's startup time.

Connect your OpenAI Agents SDK to Craft.io to sync product strategy with live execution data.

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Connect Craft.io MCP to OpenAI Agents SDK

Create your Vinkius account to connect Craft.io 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 Craft.io with OpenAI Agents SDK

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Automate item creation in OpenAI Agents SDK

Your agent pushes new product requirements directly into your backlog. It calls `create_item` to drop tasks into your workspace without manual entry. This keeps your roadmap current while your agent handles the administrative overhead. You define the logic once and let the SDK manage the payload.

Surface company intelligence for your agents

The server pulls raw company data into your agent logic. Use `get_company_financials` or `get_company_news` to feed context directly into your decision-making loop. Your agent parses this data to build better product responses. It connects real-time market signals to your internal planning documents.

Manage portfolios via MCP Server tools

Query your workspace structure using `list_portfolios` or `get_portfolio` to see what is currently in flight. It maps your high-level goals to specific active items. This MCP Server provides the visibility your agent needs to maintain alignment. You get a clear view of your product architecture without switching tabs.

Setup guide

Set up Craft.io 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 Craft.io tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about Craft.io MCP in OpenAI Agents SDK

Yes. The `get_company_financials` tool pulls data directly into your agent's context window. This lets your code analyze revenue or budget metrics automatically.

You provide a single endpoint token during the initialization of your `MCPServerStreamableHttp` object. Vinkius handles the underlying secure handshake for you.

Absolutely. The server only transmits company financial records and roadmap items through your encrypted connection. No data is stored on Vinkius servers after the request finishes.

You can select specific tools during the agent setup phase. This limits what your agent can touch inside your workspace.

You should set `cacheToolsList=True` in your configuration. This caches the tool definitions to speed up your agent's startup time.

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