Jumpseller 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 Jumpseller 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 Jumpseller. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Jumpseller?"
)
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 Jumpseller MCP Server
Empower your AI agents with Jumpseller's e-commerce platform. This MCP server allows you to list and retrieve products and orders, manage customers and categories, track store pages, and view general store information directly through the Jumpseller API. Ideal for automating store management and order processing.
LlamaIndex agents combine Jumpseller 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.
The Jumpseller 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 Jumpseller to LlamaIndex via MCP
Follow these steps to integrate the Jumpseller 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 Jumpseller
Why Use LlamaIndex with the Jumpseller MCP Server
LlamaIndex provides unique advantages when paired with Jumpseller through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Jumpseller tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Jumpseller tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Jumpseller, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Jumpseller tools were called, what data was returned, and how it influenced the final answer
Jumpseller + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Jumpseller MCP Server delivers measurable value.
Hybrid search: combine Jumpseller real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Jumpseller 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 Jumpseller for fresh data
Analytical workflows: chain Jumpseller queries with LlamaIndex's data connectors to build multi-source analytical reports
Jumpseller MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Jumpseller to LlamaIndex via MCP:
get_order
Returns line items, shipping addresses, payment status, and customer notes. Use this for order troubleshooting or providing customer support. Retrieves details for a specific order
get_product
Returns descriptions, detailed pricing, variants, and image metadata. Use this when the user needs to analyze a specific item or prepare product listings. Retrieves details for a specific product
get_store_info
Useful for verifying store configuration. Retrieves general information about your Jumpseller store
list_categories
Useful for understanding store organization and finding products within specific niches. Lists all product categories
list_customers
Returns names, emails, and order counts. Use this when the user wants to identify repeat buyers or audit the customer list. Lists all customers in your store
list_orders
Includes order IDs, totals, and current fulfillment status. Essential for monitoring recent sales activity. Lists all orders in your store
list_pages
) from the Jumpseller store. Useful for auditing site content and navigation. Lists all pages in your store
list_payment_methods
g., PayPal, Stripe) in the store. Useful for auditing checkout options. Lists configured payment methods
list_products
Returns product names, SKUs, prices, and IDs. Use this to identify items for stock management or product analysis. Lists all products in your Jumpseller store
list_shipping_methods
Useful for auditing fulfillment logic and carrier configurations. Lists configured shipping methods
Example Prompts for Jumpseller in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Jumpseller immediately.
"List all active products in my Jumpseller store."
"Show me the last 5 orders received."
"Check the details for customer ID '123'."
Troubleshooting Jumpseller MCP Server with LlamaIndex
Common issues when connecting Jumpseller to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpJumpseller + LlamaIndex FAQ
Common questions about integrating Jumpseller 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 Jumpseller 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 Jumpseller to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.