How to Use the Upper Route Planner MCP in LlamaIndex

Q: Can I use Upper Route Planner and LlamaIndex to compare routes?

Yes. You can index the results from listupperroutes and then run comparative queries against documents, letting your agent find patterns across multiple historical schedules.

Q: Does the MCP Server help with multi-step reasoning using LlamaIndex?

It helps you combine live API data (like calling createupperdeliverytask) with static documents. The result of the tool call is immediately available for semantic search.

Ground your AI answers in real data using LlamaIndex and the Upper Route Planner MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Upper Route Planner MCP to LlamaIndex

Create your Vinkius account to connect Upper Route Planner to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Upper Route Planner with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Querying Past Delivery Plans

When you run `list_upper_routes`, that output becomes part of your searchable index. You can then ask questions about past schedules, getting answers grounded in actual API data instead of guessing.

Retrieving Specific Driver Information

Use the tool `get_upper_stop_details` to pull detailed stop information. This output is indexed, meaning you can query it later—for instance, 'What were the details for stop X last month?'

Checking System Status and Tasks

The `check_upper_status` tool's result gets stored in your knowledge base. This means you can build RAG applications that answer, 'Is the Upper Route Planner service currently operational?' based on real-time data.

Setup guide

Set up Upper Route Planner MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Upper Route Planner MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Upper Route Planner tools.",
)
response = await agent.run("List recent Upper Route Planner data")

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Upper Route Planner now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Upper Route Planner MCP in LlamaIndex

Instead of just calling tools, LlamaIndex indexes the results. If you run `list_upper_drivers`, that driver list becomes part of a knowledge base you can query later for deep insight.

Yes. You can index the results from `list_upper_routes` and then run comparative queries against documents, letting your agent find patterns across multiple historical schedules.

It provides structured operational data like driver profiles (`list_upper_drivers`) and specific stop details. These types are perfect for building a unified, queryable index.

It helps you combine live API data (like calling `create_upper_delivery_task`) with static documents. The result of the tool call is immediately available for semantic search.

The server touches operational logistics records, including delivery routes, driver lists, and stop details. These are indexed into your vector store for retrieval-augmented generation.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript