Trimble MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Trimble through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Trimble "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Trimble?"
)
print(result.data)
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.
Pydantic AI validates every Trimble tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Trimble MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the Trimble MCP Server
Pydantic AI provides unique advantages when paired with Trimble through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Trimble integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Trimble connection logic from agent behavior for testable, maintainable code
Trimble + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Trimble MCP Server delivers measurable value.
Type-safe data pipelines: query Trimble with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Trimble tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Trimble and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Trimble responses and write comprehensive agent tests
Trimble MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Trimble to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Trimble to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiTrimble + Pydantic AI FAQ
Common questions about integrating Trimble MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.