How to Use the Trimble MCP in OpenAI Agents SDK
Build production logistics agents for OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Trimble MCP to OpenAI Agents SDK
Create your Vinkius account to connect Trimble 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.
Advanced Commercial Routing Capabilities
Your agent uses `calculate_truck_route` to plan a truck-compliant path between multiple stops. This calculation includes distance, total time, and the routing polyline necessary for navigation. It also runs `get_truck_directions`, which considers crucial details like bridge heights, HazMat restrictions, and weight limits, ensuring your agent never suggests an impossible turn.
Comprehensive Logistics Planning
Need to know the full cost of a journey? Call `calculate_trip_tolls` to get estimates for both cash and electronic toll fees in USD. The MCP Server also tracks state boundaries using `calculate_state_mileage`, breaking down mileage by US state or province. Want to find all possible destinations first? Use `calculate_matrix_routing` to determine distances and travel times between a whole array of origins and goals.
Geocoding and Area Analysis
The MCP Server can convert raw geographic coordinates into the nearest commercial address using `reverse_geocode`. You can also search for specific locations in the database with `search_trimble_address`. Plus, if you need to find all reachable areas within a set time limit from a single point, just call `calculate_driving_isochrone`.
Set up Trimble MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Trimble tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Trimble tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Trimble tools and returns structured results. Copy the full example on the right to get started.
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="Trimble Agent",
instructions="You have access to Trimble tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Trimble. 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 Trimble MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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