How do I get an Ordergroove API Key?

Log in to your Ordergroove Dashboard, navigate to Settings > API Keys, and generate a new key.

What is the Subscription Public ID?

It is the unique alphanumeric identifier for a subscription, typically found in the URL or the subscriptions list response.

Ordergroove MCP Server for LlamaIndex 9 tools — connect in under 2 minutes

Name: Ordergroove
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Ordergroove as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Ordergroove. "
            "You have 9 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Ordergroove?"
    )
    print(response)

asyncio.run(main())

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* 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 Ordergroove MCP Server

Connect your Ordergroove account to empower your AI agents with advanced subscription management capabilities. This server provides programmatic access to the Ordergroove REST API for managing the full subscription lifecycle.

LlamaIndex agents combine Ordergroove tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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

Subscription Control — List, inspect, update, cancel, or reactivate subscriptions instantly
Customer Insights — Access detailed customer profiles and subscription history
Product Catalog — Monitor synced products and their availability for recurring orders
Flexible Scheduling — Modify quantities, frequencies, and next order dates through simple commands
Lifecycle Management — Automate retention workflows and customer support tasks using natural language

The Ordergroove MCP Server exposes 9 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 Ordergroove to LlamaIndex via MCP

Follow these steps to integrate the Ordergroove 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 9 tools from Ordergroove

Why Use LlamaIndex with the Ordergroove MCP Server

LlamaIndex provides unique advantages when paired with Ordergroove through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Ordergroove tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Ordergroove tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Ordergroove, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Ordergroove tools were called, what data was returned, and how it influenced the final answer

Ordergroove + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Ordergroove MCP Server delivers measurable value.

Hybrid search: combine Ordergroove real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Ordergroove 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 Ordergroove for fresh data

Analytical workflows: chain Ordergroove queries with LlamaIndex's data connectors to build multi-source analytical reports

Ordergroove MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Ordergroove to LlamaIndex via MCP:

cancel_subscription

Requires a reason. Cancel a subscription

get_customer

Get customer details

get_product

Get product details

get_subscription

Get details for a specific subscription

list_customers

List Ordergroove customers

list_products

List Ordergroove products

list_subscriptions

You can filter by customer_id or status. List Ordergroove subscriptions

reactivate_subscription

Reactivate a cancelled subscription

update_subscription

Update subscription details

Example Prompts for Ordergroove in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Ordergroove immediately.

"List active subscriptions for customer 'cust_123'."

"Cancel subscription #sub_abc because the customer requested a refund."

Troubleshooting Ordergroove MCP Server with LlamaIndex

Common issues when connecting Ordergroove to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Ordergroove + LlamaIndex FAQ

Common questions about integrating Ordergroove MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Ordergroove tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.