How to Use the Moova MCP in LlamaIndex

Q: How do I connect Moova to LlamaIndex?

Install llama-index-tools-mcp and initialize the BasicMCPClient to connect this Moova MCP Server with your LlamaIndex vector pipeline. You then wrap the Moova tools in a LlamaIndex tool spec to make them available to your agent.

Q: Can LlamaIndex index Moova tracking history for trend analysis?

Yes, LlamaIndex can index the results of Moova's listshipments tool to analyze carrier performance over time. This lets you query your Moova logistics history using natural language in LlamaIndex.

Q: Does LlamaIndex support the coverage zone tools in Moova?

Yes, LlamaIndex can query Moova's listcoveragezones tool to retrieve valid delivery coordinates. This zone data is then stored in LlamaIndex to help the agent route shipments correctly.

Index live shipping data and carrier options into LlamaIndex using this Moova MCP Server.

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Connect Moova MCP to LlamaIndex

Create your Vinkius account to connect Moova 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 Moova with LlamaIndex

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Semantic search over Moova shipping records

LlamaIndex indexes the output of Moova's `list_shipments` and `track_shipment` tools directly into your vector store. This allows your LlamaIndex agent to perform semantic searches over active Moova delivery records instead of writing database queries. When a customer asks about a delivery, LlamaIndex queries the vector index to retrieve the relevant Moova tracking events. This retrieval method guarantees that your LlamaIndex agent answers questions using actual Moova logistics history.

Grounded logistics RAG with LlamaIndex

Prevent your LlamaIndex agent from hallucinating shipping statuses by grounding it with live data from Moova's `get_shipment_status` tool. The LlamaIndex RAG pipeline combines static invoice documents with real-time Moova updates to generate accurate responses. By using the Moova MCP tool spec, LlamaIndex pulls the latest package status before generating any customer email. This integration ensures that LlamaIndex never promises a delivery date that contradicts Moova's live tracking.

Coverage zone indexing for smart routing

Fetch your active service areas using Moova's `list_coverage_zones` tool and index them into your LlamaIndex vector database. When a customer inputs an address, LlamaIndex verifies the location against these indexed Moova zones before booking. This local validation step in LlamaIndex prevents API errors before your agent calls Moova's `create_shipment` tool. Your LlamaIndex application handles address filtering internally, saving API calls to the Moova platform.

Setup guide

Set up Moova 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 Moova 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 Moova tools.",
)
response = await agent.run("List recent Moova 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 Moova. 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 Moova MCP in LlamaIndex

Install `llama-index-tools-mcp` and initialize the `BasicMCPClient` to connect this Moova MCP Server with your LlamaIndex vector pipeline. You then wrap the Moova tools in a LlamaIndex tool spec to make them available to your agent.

Yes, LlamaIndex can index the results of Moova's `list_shipments` tool to analyze carrier performance over time. This lets you query your Moova logistics history using natural language in LlamaIndex.

Yes, LlamaIndex can query Moova's `list_coverage_zones` tool to retrieve valid delivery coordinates. This zone data is then stored in LlamaIndex to help the agent route shipments correctly.

You can use LlamaIndex's tool filters to restrict the agent to read-only Moova tools like `get_shipment_status`. This prevents the LlamaIndex agent from calling write tools like `cancel_shipment` without authorization.

When LlamaIndex retrieves merchant billing details using Moova's `get_account_info` tool, Vinkius isolates the transaction. This merchant data is processed in a secure, zero-trust container that deletes all session state immediately.

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