MotionTools 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 MotionTools as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 MotionTools. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in MotionTools?"
)
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 MotionTools MCP Server
Connect your MotionTools account to your AI agent and streamline your urban logistics and fleet management through natural conversation.
LlamaIndex agents combine MotionTools 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
- Booking Management — List all delivery or hailing bookings and create new ones with pickup and dropoff details.
- Fleet Oversight — Access real-time info on your drivers and registered vehicles, including current assignment statuses.
- Service Area Insights — List and inspect the geographic zones and boundaries where your operations are active.
- Customer Records — View a list of all customers who have booked services in your account.
- Deep Inspection — Fetch complete metadata and current status for specific bookings, drivers, or vehicles using their unique IDs.
The MotionTools 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 MotionTools to LlamaIndex via MCP
Follow these steps to integrate the MotionTools 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 MotionTools
Why Use LlamaIndex with the MotionTools MCP Server
LlamaIndex provides unique advantages when paired with MotionTools through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine MotionTools tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain MotionTools tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query MotionTools, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what MotionTools tools were called, what data was returned, and how it influenced the final answer
MotionTools + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the MotionTools MCP Server delivers measurable value.
Hybrid search: combine MotionTools real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query MotionTools 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 MotionTools for fresh data
Analytical workflows: chain MotionTools queries with LlamaIndex's data connectors to build multi-source analytical reports
MotionTools MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect MotionTools to LlamaIndex via MCP:
create_booking
Create a new logistics booking
get_booking
Get specific booking details
get_driver
Get specific driver details
get_service_area
Get service area details
get_vehicle
Get specific vehicle info
list_bookings
List logistics bookings
list_customers
List logistics customers
list_drivers
List fleet drivers
list_service_areas
List active service areas
list_vehicles
List fleet vehicles
Example Prompts for MotionTools in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with MotionTools immediately.
"List my current delivery bookings and their status."
"Show me the list of active vehicles in the fleet."
"Create a new booking from 123 Main St to 456 Oak Ave."
Troubleshooting MotionTools MCP Server with LlamaIndex
Common issues when connecting MotionTools to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMotionTools + LlamaIndex FAQ
Common questions about integrating MotionTools 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 MotionTools 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 MotionTools to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.