Trimble MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Trimble through Vinkius, pass the Edge URL in the `mcps` parameter and every Trimble tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Trimble Specialist",
goal="Help users interact with Trimble effectively",
backstory=(
"You are an expert at leveraging Trimble tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Trimble "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 10 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, Trimble becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Trimble tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 CrewAI 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 CrewAI via MCP
Follow these steps to integrate the Trimble MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 10 tools from Trimble
Why Use CrewAI with the Trimble MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Trimble through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Trimble + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Trimble MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Trimble for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Trimble, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Trimble tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Trimble against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Trimble MCP Tools for CrewAI (10)
These 10 tools become available when you connect Trimble to CrewAI 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 CrewAI
Ready-to-use prompts you can give your CrewAI 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 CrewAI
Common issues when connecting Trimble to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Trimble + CrewAI FAQ
Common questions about integrating Trimble MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.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 CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.