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Pando MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Check Api Status, Create Indent, Get Indent Details, and more

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Pando through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Pando app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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="Pando Assistant",
            instructions=(
                "You help users interact with Pando. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Pando"
        )
        print(result.final_output)

asyncio.run(main())
Pando
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Pando MCP Server

Connect your Pando account to any AI agent and take full control of your transport management system (TMS) and fulfillment orchestration through natural conversation. Pando provides a world-class platform for logistics visibility, and this integration allows you to retrieve shipment metadata, manage vehicle indents, and monitor warehouse locations directly from your chat interface.

The OpenAI Agents SDK auto-discovers all 11 tools from Pando through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Pando, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Shipment & Carrier Orchestration — List all managed shipments and retrieve detailed status metadata programmatically to ensure your logistics pipeline is always synchronized.
  • Vehicle Indent Tracking — Access and monitor your vehicle placement requests (indents) directly from the AI interface to optimize fleet allocation and reduce lead times.
  • Location & Warehouse Intelligence — List and search through your master locations and warehouses via natural language to maintain a clear overview of your supply chain nodes.
  • Material & Inventory Control — Access your registered materials database and retrieve unit metadata using simple AI commands.
  • Operational Monitoring — Track system responses and manage shipment history to ensure your fulfillment operations are always optimized.

The Pando MCP Server exposes 11 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 11 Pando tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Pando through Vinkius, your AI agent gets direct access to every tool listed below — spanning pando, tms-api, logistics-orchestration, 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.

check_api_status

Verify Pando API connectivity

create_indent

Pass data as a JSON string. Create a new vehicle indent

get_indent_details

Get details for a specific indent

get_shipment_details

Get specific shipment details

list_carriers

List all transport carriers

list_indents

List all vehicle indents

list_locations

List all warehouse locations

list_materials

List all registered materials

list_routes

List all configured routes

list_shipments

List all Pando shipments

list_vehicles

List all registered vehicles

Connect Pando to OpenAI Agents SDK via MCP

Follow these steps to wire Pando into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 11 tools from Pando

Why Use OpenAI Agents SDK with the Pando MCP Server

OpenAI Agents SDK provides unique advantages when paired with Pando through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Pando + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Pando MCP Server delivers measurable value.

01

Automated workflows: build agents that query Pando, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Pando, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Pando tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Pando to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Pando in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Pando immediately.

01

"List all active shipments in my Pando account."

02

"Show me all available carriers and their fleet capacity for the Mumbai to Delhi route."

03

"Create a new vehicle indent request for 3 trucks from Delhi warehouse to Jaipur hub for tomorrow."

Troubleshooting Pando MCP Server with OpenAI Agents SDK

Common issues when connecting Pando to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Pando + OpenAI Agents SDK FAQ

Common questions about integrating Pando MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.