Trimble MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Trimble as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Trimble. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Trimble?"
)
print(response)
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.
LlamaIndex agents combine Trimble tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Trimble MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Trimble
Why Use LlamaIndex with the Trimble MCP Server
LlamaIndex provides unique advantages when paired with Trimble through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Trimble tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Trimble tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Trimble, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Trimble tools were called, what data was returned, and how it influenced the final answer
Trimble + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Trimble MCP Server delivers measurable value.
Hybrid search: combine Trimble real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Trimble to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Trimble for fresh data
Analytical workflows: chain Trimble queries with LlamaIndex's data connectors to build multi-source analytical reports
Trimble MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Trimble to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Trimble to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTrimble + LlamaIndex FAQ
Common questions about integrating Trimble MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.