OptimoRoute 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 OptimoRoute 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 OptimoRoute. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in OptimoRoute?"
)
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 OptimoRoute MCP Server
Connect your OptimoRoute account to any AI agent and take full control of your logistics and delivery operations through natural conversation.
LlamaIndex agents combine OptimoRoute 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
- Order Management — Create, retrieve, and delete delivery orders with precise location metadata.
- Route Oversight — List planned routes for any specific date to maintain visibility over your daily operations.
- Real-time Tracking — Get live driver locations and stop sequences to provide accurate updates to customers.
- Optimization Planning — Start and monitor route optimization tasks to ensure maximum efficiency.
- Performance Analytics — Extract delivery analytics to audit your logistics performance over time.
The OptimoRoute 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 OptimoRoute to LlamaIndex via MCP
Follow these steps to integrate the OptimoRoute 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 OptimoRoute
Why Use LlamaIndex with the OptimoRoute MCP Server
LlamaIndex provides unique advantages when paired with OptimoRoute through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine OptimoRoute tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain OptimoRoute tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query OptimoRoute, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what OptimoRoute tools were called, what data was returned, and how it influenced the final answer
OptimoRoute + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the OptimoRoute MCP Server delivers measurable value.
Hybrid search: combine OptimoRoute real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query OptimoRoute 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 OptimoRoute for fresh data
Analytical workflows: chain OptimoRoute queries with LlamaIndex's data connectors to build multi-source analytical reports
OptimoRoute MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect OptimoRoute to LlamaIndex via MCP:
create_order
Create a new delivery order
delete_order
Delete a delivery order
get_analytics
Get delivery performance analytics
get_driver_locations
Get real-time driver locations
get_order
Get details for a specific order
get_planning_status
Check status of an optimization task
get_stop_sequence
Get stop sequence for a driver
list_drivers
List all drivers
list_routes
List routes for a specific date
start_planning
Start route optimization for a date
Example Prompts for OptimoRoute in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with OptimoRoute immediately.
"Create a new delivery order #ABC-123 for 123 Main St for tomorrow."
"Show me the real-time locations of all my drivers."
"Start route optimization for today's pending orders."
Troubleshooting OptimoRoute MCP Server with LlamaIndex
Common issues when connecting OptimoRoute to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOptimoRoute + LlamaIndex FAQ
Common questions about integrating OptimoRoute 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 OptimoRoute 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 OptimoRoute to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.