Veeqo MCP Server for LlamaIndexGive LlamaIndex instant access to 7 tools to Create Manual Order, Get Order Details, Get Product Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Veeqo 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 App Connector for LlamaIndex
The Veeqo app connector for LlamaIndex is a standout in the Ecommerce category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Veeqo. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Veeqo?"
)
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 Veeqo MCP Server
Connect your Veeqo account to any AI agent and simplify how you manage your multi-channel retail, inventory levels, and shipping workflows through natural conversation.
LlamaIndex agents combine Veeqo tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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 — List all sales orders, retrieve line-item details, and create manual orders for specific customers.
- Inventory Control — Query your product catalog and monitor real-time stock levels across all your channels.
- Customer Directory — List and inspect customer data associated with your orders to maintain your CRM.
- Shipping Monitoring — Track shipments and list fulfillment history to stay on top of your logistics.
- SKU Insights — Fetch detailed metadata and variant status for any product in your inventory.
The Veeqo MCP Server exposes 7 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.
All 7 Veeqo tools available for LlamaIndex
When LlamaIndex connects to Veeqo through Vinkius, your AI agent gets direct access to every tool listed below — spanning order-fulfillment, multi-channel-retail, stock-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new order
Get details for a specific order
Get details for a specific product
List Veeqo customers
List products
List Veeqo orders
List shipments
Connect Veeqo to LlamaIndex via MCP
Follow these steps to wire Veeqo into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Veeqo MCP Server
LlamaIndex provides unique advantages when paired with Veeqo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Veeqo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Veeqo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Veeqo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Veeqo tools were called, what data was returned, and how it influenced the final answer
Veeqo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Veeqo MCP Server delivers measurable value.
Hybrid search: combine Veeqo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Veeqo 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 Veeqo for fresh data
Analytical workflows: chain Veeqo queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Veeqo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Veeqo immediately.
"List all active orders in my Veeqo account."
"Check the current stock for 'Blue T-Shirt' in the inventory."
"Show me the last 3 shipments and their tracking numbers."
Troubleshooting Veeqo MCP Server with LlamaIndex
Common issues when connecting Veeqo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpVeeqo + LlamaIndex FAQ
Common questions about integrating Veeqo MCP Server with LlamaIndex.