How to Use the Clearstory MCP in OpenAI Agents SDK

Track construction change orders directly in your OpenAI Agents SDK production pipeline.

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Connect Clearstory MCP to OpenAI Agents SDK

Create your Vinkius account to connect Clearstory 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 Clearstory with OpenAI Agents SDK

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Manage CORs with OpenAI Agents SDK

Your agent pulls real-time data using `list_change_order_requests` to monitor pending approvals. It maps the current project status against contract terms without manual spreadsheet updates. Safety guardrails in your SDK catch bad inputs before they hit the API. You define the logic, and the agent uses `get_cor_details` to verify every line item before sending updates back to your dashboard.

Field data access for OpenAI Agents SDK

Stop digging through site logs to find T&M tags. Your agent runs `list_tm_tags` to pull field data directly into your automated reporting loop. The system keeps your records clean by checking `list_construction_rates` against current project specs. Your agent identifies discrepancies in labor or material costs before they become accounting problems.

Project tracking via OpenAI Agents SDK

Connect your construction management workflow to your agent using `list_construction_projects`. It provides a high-level view of every active site in your portfolio. Drill down into specific sites using `get_project_construction_details` to pull technical specs. This MCP server ensures your agent works from the same data your field team sees.

Setup guide

Set up Clearstory 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 Clearstory tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Clearstory 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="Clearstory Agent",
            instructions="You have access to Clearstory 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 Clearstory MCP in OpenAI Agents SDK

You instantiate the MCPServerStreamableHttp class with your endpoint URL. Pass this object into the Agent constructor to let the SDK discover all tools automatically.

Yes. The SDK enforces safety constraints on every tool call. It traces execution so you know exactly which action triggered a specific COR update.

Set cacheToolsList to true in your configuration. This prevents unnecessary round trips when your agent repeatedly queries project lists.

You control the server instance directly in your code. You can filter the tools passed to the agent to restrict access to sensitive financial data.

Your COR and T&M data stays isolated within our V8 sandbox. We handle the authentication via your endpoint token so no sensitive credentials touch your agent's memory.

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