Glow Loyalty MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Glow Loyalty as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Glow Loyalty. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Glow Loyalty?"
)
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 Glow Loyalty MCP Server
Connect your Glow Loyalty (Shopify) account to any AI agent to automate your rewards program management through the Model Context Protocol (MCP). Glow Loyalty is a robust rewards and referral platform designed for modern Shopify merchants. This MCP server enables you to retrieve member point balances, manually adjust points, and redeem rewards directly through natural conversation.
LlamaIndex agents combine Glow Loyalty tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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.
Key Features
- Member Oversight — List all enrolled loyalty members and fetch detailed point balances, tier statuses, and customer metadata instantly.
- Point Adjustment — Manually add or subtract points from a member's balance programmatically from your chat interface, perfect for custom rewards or apologies.
- Reward Redemption — Initiate reward redemptions for members, deducting points and generating unique discount codes for your storefront.
- Campaign Discovery — List all available rewards configured in your program to understand point requirements and active offers.
- Tier Tracking — Monitor member progress across different loyalty tiers to identify and reward your most valuable customers.
- Program Analytics — Access high-level metadata for your connected Glow account to verify connectivity and account health.
- Real-time Synchronization — Keep your loyalty and retention data accessible to your AI assistant without leaving your primary workspace.
The Glow Loyalty MCP Server exposes 12 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 Glow Loyalty to LlamaIndex via MCP
Follow these steps to integrate the Glow Loyalty 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 12 tools from Glow Loyalty
Why Use LlamaIndex with the Glow Loyalty MCP Server
LlamaIndex provides unique advantages when paired with Glow Loyalty through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Glow Loyalty tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Glow Loyalty tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Glow Loyalty, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Glow Loyalty tools were called, what data was returned, and how it influenced the final answer
Glow Loyalty + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Glow Loyalty MCP Server delivers measurable value.
Hybrid search: combine Glow Loyalty real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Glow Loyalty 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 Glow Loyalty for fresh data
Analytical workflows: chain Glow Loyalty queries with LlamaIndex's data connectors to build multi-source analytical reports
Glow Loyalty MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Glow Loyalty to LlamaIndex via MCP:
adjust_member_points
Use positive numbers to add, negative to subtract. Add/remove points
find_loyalty_member
Search member
get_member_balance
Check member points
get_program_details
Get account identity
get_reward_spec
Check reward points
gift_points_to_member
Gift bonus points
list_available_rewards
List reward options
list_loyalty_members
List all members
list_members_by_page
Paginated members
list_new_members
List latest signups
redeem_loyalty_reward
Redeem a reward
verify_api_connection
Check connection
Example Prompts for Glow Loyalty in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Glow Loyalty immediately.
"What is the point balance for 'customer@email.com'?"
"Add 100 bonus points to 'jane@example.com' for social sharing."
"List all available rewards I can offer to my customers."
Troubleshooting Glow Loyalty MCP Server with LlamaIndex
Common issues when connecting Glow Loyalty to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGlow Loyalty + LlamaIndex FAQ
Common questions about integrating Glow Loyalty 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 Glow Loyalty 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 Glow Loyalty to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.