Bring Loyalty Programs
to LlamaIndex
Learn how to connect Zinrelo to LlamaIndex and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the Zinrelo MCP Server?
Connect your Zinrelo account to any AI agent to automate your loyalty and rewards operations. This MCP server enables your agent to interact with loyalty members, award points for activities or purchases, and manage reward redemptions directly from natural language.
What you can do
- Member Management — Enroll new customers and retrieve detailed loyalty profiles, including tier status and point balances
- Points Automation — Award points for custom activities or purchase transactions instantly
- Reward Processing — Redeem points for rewards and manage manual point deductions when necessary
- Activity Auditing — List comprehensive transaction histories for any loyalty member to track earnings and usage
- Program Oversight — Access high-level loyalty settings and account configuration details
How it works
1. Subscribe to this server
2. Enter your Zinrelo Partner ID and API Key
3. Start managing your loyalty program from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Marketing Managers — Monitor loyalty member growth and award points for special campaigns via natural language
- Customer Support — Quickly check a customer's point balance or transaction history during interactions
- E-commerce Owners — Automate the enrollment of new members and tracking of reward activities
Built-in capabilities (9)
Award points for a custom activity
Award points for a purchase
Manually deduct points from a user
Enroll or update a loyalty member
Get account loyalty settings
Get details for a specific loyalty member
List all loyalty program members
List transaction history for a member
g., coupon). Redeem points for a reward
Why LlamaIndex?
LlamaIndex agents combine Zinrelo 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.
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Data-first architecture: LlamaIndex agents combine Zinrelo tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Zinrelo tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Zinrelo, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Zinrelo tools were called, what data was returned, and how it influenced the final answer
Zinrelo in LlamaIndex
Zinrelo and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Zinrelo to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Zinrelo in LlamaIndex
The Zinrelo 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. All 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Zinrelo for LlamaIndex
Every tool call from LlamaIndex to the Zinrelo MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I award points for a specific activity?
Use the award_points_activity tool with the member's email and the specific activity_id defined in your Zinrelo dashboard.
Can I see a history of point redemptions for a user?
Yes, the list_member_transactions tool retrieves a complete history of all point earnings and redemptions for a target member.
Is it possible to manually deduct points?
Absolutely. Use the deduct_points tool to remove a specific amount of points from a user's loyalty balance.
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 Zinrelo tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp