Dashdoc MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Dashdoc through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Dashdoc Assistant",
instructions=(
"You help users interact with Dashdoc. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Dashdoc"
)
print(result.final_output)
asyncio.run(main())
* 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 Dashdoc MCP Server
Integrate Dashdoc, the leading transport management system (TMS), directly into your AI workflow. Manage your transport orders, monitor your fleet of trucks and trailers, and track delivery addresses using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from Dashdoc through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Dashdoc, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Transport Management — List and retrieve detailed information for all your transport orders and their statuses.
- Fleet Monitoring — Track your trucks, trailers, and drivers registered in the Dashdoc system.
- Address Book — Manage delivery and pickup addresses and create new records instantly.
- Partner Insights — List contacts and business partners associated with your transport operations.
The Dashdoc MCP Server exposes 10 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.
How to Connect Dashdoc to OpenAI Agents SDK via MCP
Follow these steps to integrate the Dashdoc MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Dashdoc
Why Use OpenAI Agents SDK with the Dashdoc MCP Server
OpenAI Agents SDK provides unique advantages when paired with Dashdoc through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Dashdoc + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Dashdoc MCP Server delivers measurable value.
Automated workflows: build agents that query Dashdoc, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Dashdoc, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Dashdoc tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Dashdoc to resolve tickets, look up records, and update statuses without human intervention
Dashdoc MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Dashdoc to OpenAI Agents SDK via MCP:
create_new_address
Persists site metadata including name, city, and postal code, returning the newly generated system ID for the address. Add a new address to your Dashdoc address book
get_my_user_info
Returns account-level metadata including user ID, role, and associated fleet/company configuration. Retrieve metadata for the current authenticated user
get_transport_details
Resolves internal IDs to human-readable names, including full site addresses, contact phone numbers, specific cargo items, and historical status logs. Get detailed information for a specific transport order
list_fleet_drivers
Returns driver profiles including internal identifiers, professional names, and link to associated vehicle units. List all drivers registered in the system
list_fleet_trailers
Returns metadata such as trailer type (e.g., refrigerated, tautliner), registration numbers, and fleet assignment status. List all trailers in your fleet
list_fleet_trucks
Includes license plates, vehicle types, maximum load capacity, and current operational status. List all trucks in your fleet
list_saved_addresses
Returns a collection of site objects with GPS coordinates, technical contact details, and site-specific instructions (e.g., gate codes, loading bay requirements). List all saved delivery and pickup addresses
list_transport_contacts
Resolves business partner identities, including legal names, tax identifiers, and primary communication channels for logistics coordination. List contacts and business partners
list_transports
Returns transport metadata including status (e.g., requested, confirmed, ongoing, done), pickup/delivery references, customer IDs, and scheduling timestamps. List all transport orders in Dashdoc
search_transports_by_reference
Matches the provided reference keyword against transport-level identifiers and customer references using case-insensitive partial matching. Search for transport orders by reference keyword
Example Prompts for Dashdoc in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Dashdoc immediately.
"List all transport orders that are 'Ongoing'."
"Show me the details for transport order 'TR123'."
"List all trucks in our fleet."
Troubleshooting Dashdoc MCP Server with OpenAI Agents SDK
Common issues when connecting Dashdoc to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Dashdoc + OpenAI Agents SDK FAQ
Common questions about integrating Dashdoc MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Dashdoc with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Dashdoc to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.