How to Use the MotionTools MCP in LlamaIndex

Q: How can LlamaIndex use MotionTools for RAG?

Use the McpToolSpec to convert the server tools into a format LlamaIndex can index. This lets your agent query live logistics data alongside your documents.

Q: Can I filter MotionTools data before LlamaIndex indexing?

Yes, use the allowedtools filter in your client setup. This limits the data accessible to your agent to only what is necessary for your specific use case.

Turn LlamaIndex into a logistics brain by indexing your fleet data from MotionTools for grounded, accurate answers.

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Connect MotionTools MCP to LlamaIndex

Create your Vinkius account to connect MotionTools 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.

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Setup MotionTools with LlamaIndex

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Index your fleet data with LlamaIndex

Use `list_drivers` and `list_vehicles` to fetch live status updates and push them into your vector store. Your agent can then query this index to find specific fleet assets without re-calling the API every time. This approach grounds your responses in real-time data. It prevents the agent from guessing fleet status by giving it a searchable history of your operations.

Searchable logistics history

Combine past `get_booking` results with your internal documents to provide context-aware support. You can search across years of delivery records to spot trends in service area performance. This capability turns static API data into a knowledge base. It helps your team find answers about past deliveries in seconds rather than digging through logs.

Unified API and document indexing

The MCP Server allows LlamaIndex to pull from both live tools and static files. Use `get_service_area` alongside your local PDF manuals to answer complex routing questions for your drivers. Your agent builds a complete picture of your operations. It treats every tool output as a piece of evidence to support its final recommendation.

Setup guide

Set up MotionTools 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 MotionTools 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 MotionTools tools.",
)
response = await agent.run("List recent MotionTools data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MotionTools. 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 MotionTools MCP in LlamaIndex

Use the `McpToolSpec` to convert the server tools into a format LlamaIndex can index. This lets your agent query live logistics data alongside your documents.

You control the refresh rate of your vector store. We recommend triggering updates after major dispatch events to keep your data accurate.

Your logistics records are ephemeral and handled within the secure Vinkius sandbox. Only the indexed results you choose to store leave the protected environment.

Yes, use the `allowed_tools` filter in your client setup. This limits the data accessible to your agent to only what is necessary for your specific use case.

By grounding your agent in an index of live API data, you minimize errors. The agent retrieves facts from the index instead of relying on its pre-trained memory.

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