Trimble 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 Trimble through the 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="Trimble Assistant",
instructions=(
"You help users interact with Trimble. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Trimble"
)
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 Trimble MCP Server
Connect your AI agent exclusively to your *Trimble PCMILER logistics infrastructure. Elevate your transportation operations replacing disjointed navigation screens. Communicate organically to your agent to dictate exact vehicle dimensions to avoid tight bridges, compile meticulous state-by-state fuel mileage reports, or estimate holistic transit budgets using precise industrial coordinates.
The OpenAI Agents SDK auto-discovers all 10 tools from Trimble through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Trimble, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Heavy Routing Limits — Command a route trace bypassing commercial hazard zones using variables like actual truck dimensions (height, weight) directly in conversation
- Toll Estimation — Ping exactly how much a full route will impact your budget by breaking down both cash and electronic toll values mathematically
- State Mileage Reporting — Generate automatic fuel-tax (IFTA) summaries calculating exact penetration mileage crossed inside individual states
- Logistics Forensics — Interrogate geographical locations using structured isochrone grids (predicting max travel based on an hour limit) or matrix origins
- Spatial Exclusions — Trace itineraries avoiding strictly designated public roads and restricting expressways in the blink of an eye
The Trimble 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 Trimble to OpenAI Agents SDK via MCP
Follow these steps to integrate the Trimble 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 Trimble
Why Use OpenAI Agents SDK with the Trimble MCP Server
OpenAI Agents SDK provides unique advantages when paired with Trimble 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
Trimble + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Trimble MCP Server delivers measurable value.
Automated workflows: build agents that query Trimble, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Trimble, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Trimble tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Trimble to resolve tickets, look up records, and update statuses without human intervention
Trimble MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Trimble to OpenAI Agents SDK via MCP:
calculate_driving_isochrone
Provide center coordinates and time in minutes. Calculates the reachable area within a specific time limit from a center point
calculate_matrix_routing
Provide arrays of lon,lat points. Calculates distances and travel times between multiple origins and destinations
calculate_state_mileage
Calculates mileage broken down by US state or province for a given route
calculate_trip_tolls
Returns cash and electronic toll fees in USD. Estimates the total toll costs for a specific truck route
calculate_truck_route
Returns distance, time, and routing polyline. Calculates a truck-compliant route between multiple stops using Trimble PC*MILER
get_truck_directions
Considers bridge heights, HazMat restrictions, and weight limits. Retrieves turn-by-turn driving directions for a truck route
reverse_geocode
Converts geographic coordinates into the nearest commercial address
route_avoiding_roads
Calculates a route that explicitly avoids certain roads or expressways
route_by_vehicle_size
Provide vehicle height in inches and weight in lbs. Calculates a truck route using specific vehicle dimensions
search_trimble_address
Searches for locations and commercial addresses in the Trimble database
Example Prompts for Trimble in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Trimble immediately.
"Calculate a truck route starting from -74.0,40.7 to -75.0,41.0."
"What are the estimated toll costs passing that exact same route?"
Troubleshooting Trimble MCP Server with OpenAI Agents SDK
Common issues when connecting Trimble to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Trimble + OpenAI Agents SDK FAQ
Common questions about integrating Trimble 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 Trimble 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 Trimble to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.