Trimble MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Trimble through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"trimble": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Trimble, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Trimble through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Trimble MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Trimble via MCP
Why Use LangChain with the Trimble MCP Server
LangChain provides unique advantages when paired with Trimble through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Trimble MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Trimble queries for multi-turn workflows
Trimble + LangChain Use Cases
Practical scenarios where LangChain combined with the Trimble MCP Server delivers measurable value.
RAG with live data: combine Trimble tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Trimble, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Trimble tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Trimble tool call, measure latency, and optimize your agent's performance
Trimble MCP Tools for LangChain (10)
These 10 tools become available when you connect Trimble to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Trimble to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTrimble + LangChain FAQ
Common questions about integrating Trimble MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.