How to Use the Upper Route Planner MCP in CrewAI

Q: How can CrewAI use Upper Route Planner to plan a new delivery task?

The crew assigns the createupperdeliverytask tool to an agent. This agent submits the job details, and the resulting record is then passed to other agents for validation against existing routes.

Q: What roles are best suited for using Upper Route Planner with CrewAI?

You could assign a 'Dispatcher' role to manage listupperdrivers, and an 'Auditor' role to run through all stops using getupperroutestop.

Q: Does Upper Route Planner help CrewAI validate existing routes?

Yes. The crew uses listupperroutes to get the manifest, and then specialized agents pull details for each stop via getupperstopdetails. This validates the entire path.

Q: What is the best way to check Upper Route Planner status with CrewAI?

Assign a 'System Monitor' role and give it access to checkupperstatus. The monitor agent runs this first, ensuring all downstream operations are safe before proceeding.

Q: What data type does Upper Route Planner touch when listing routes with CrewAI?

The server handles delivery route records. When you use listupperroutes, the resulting data is a complete manifest of planned paths, including stop and driver details.

Run autonomous multi-agent operations for optimized delivery planning with CrewAI and Upper Route Planner.

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Coordinating Driver Assignments

A specialized agent can use `list_upper_drivers` to gather all personnel. Another agent then analyzes this list against the needs of a route, ensuring optimal staffing for the delivery team. This collaborative structure allows one agent (the Monitor) to watch who is available while another (the Action Agent) uses the data to make assignment recommendations.

Planning New Delivery Paths

The Planner agent uses `create_upper_delivery_task` when a new job comes in. This task submission can be treated as the primary goal for the crew. A subsequent Analysis agent then takes the resulting task ID and calls `get_upper_stop_details` to validate every stop on the newly created path, ensuring completeness.

Verifying Overall Route Structure

The Researcher agent first runs `list_upper_routes` to get a baseline of all active routes. A second agent then uses `get_upper_route_stop` on specific IDs, comparing the expected stops against the actual manifest data. This comparison process makes sure that no necessary stop is missed in any existing or planned route.

Setup guide

Set up Upper Route Planner MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Upper Route Planner tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Upper Route Planner Analyst",
    goal="Access and analyze Upper Route Planner data via MCP.",
    backstory="Expert analyst with direct Upper Route Planner access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Upper Route Planner transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Upper Route Planner Analyst",
        goal="Access and analyze Upper Route Planner data via MCP.",
        backstory="Expert analyst with direct Upper Route Planner access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Upper Route Planner transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Upper Route Planner. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Upper Route Planner MCP in CrewAI

The crew assigns the `create_upper_delivery_task` tool to an agent. This agent submits the job details, and the resulting record is then passed to other agents for validation against existing routes.

You could assign a 'Dispatcher' role to manage `list_upper_drivers`, and an 'Auditor' role to run through all stops using `get_upper_route_stop`.

Yes. The crew uses `list_upper_routes` to get the manifest, and then specialized agents pull details for each stop via `get_upper_stop_details`. This validates the entire path.

Assign a 'System Monitor' role and give it access to `check_upper_status`. The monitor agent runs this first, ensuring all downstream operations are safe before proceeding.

The server handles delivery route records. When you use `list_upper_routes`, the resulting data is a complete manifest of planned paths, including stop and driver details.

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