Zinrelo Connector for AI agents.
9 live capabilities
Manage loyalty points and rewards for your customers using natural language.
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Why people use Zinrelo
Zinrelo for Automated Loyalty Marketing
With this Connector, that friction disappears. You just tell your agent to award points for a purchase or check a balance. It handles the API calls in the background, giving you a faster workflow and eliminating the risk of manual data entry errors.
What Vinkius changes
You get a direct line between your AI agent and your Zinrelo loyalty data.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Instant Balance Checks
A customer asks their support agent, 'How many points do I have?
- Real-world use case 02
Automated Campaign Rewards
A marketing manager tells the agent to award 50 points to everyone who joined today.
- Real-world use case 03
Purchase Point Attribution
After a customer completes a $100 sale, the agent uses award_points_purchase to update their loyalty balance automatically.
Complete set · 9capabilities
The complete Zinrelo capability set.
These are the exact actions your AI can choose when you ask it to work with Zinrelo.
01—03
3 capabilities in this set.
Part of 9 available through Zinrelo.
- 01 Capability
Deduct points
Take points away from a member's balance for manual adjustments. This helps you handle corrections or specific return scenarios.
- 02 Capability
Get member details
Pull a full profile for a specific loyalty member. This gives your agent the context it needs to provide personalized service.
- 03 Capability
List member transactions
Pull a full history of points earned and spent for a member. This helps you audit a customer's spending habits.
04—06
3 capabilities in this set.
Part of 9 available through Zinrelo.
- 04 Capability
List loyalty members
Get a complete list of everyone currently in your loyalty program. This provides a high-level view of your current member base.
- 05 Capability
Award points purchase
Add points to a member's account based on a completed sale. This links rewards directly to your store's revenue.
- 06 Capability
Enroll member
Create a new loyalty profile or update an existing one. This keeps your member list current without manual form filling.
07—09
3 capabilities in this set.
Part of 9 available through Zinrelo.
- 07 Capability
Award points activity
Give points to a member for a specific custom action. This lets you reward non-purchase behaviors like social shares or signups.
- 08 Capability
Redeem reward
Process a reward redemption like a coupon for a member. This lets your agent handle the final step of the rewards cycle.
- 09 Capability
Get loyalty settings
View your current account settings and loyalty configurations. This keeps your agent updated on the latest program rules.
Set up in minutes
One URL. Then ask Zinrelo to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Zinrelo from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_AratjXjIrNe435yir0rGqwDlmZZdTjbFgj4FW3dU/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Zinrelo, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Zinrelo for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_AratjXjIrNe435yir0rGqwDlmZZdTjbFgj4FW3dU/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Zinrelo URL.
- Step 03
Save and start
Save the connection and enable Zinrelo in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"zinrelo": {
"url": "https://edge.vinkius.com/vk_preview_AratjXjIrNe435yir0rGqwDlmZZdTjbFgj4FW3dU/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Zinrelo
Open Agent mode in chat and ask: "Using Zinrelo, help me...". 9 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"zinrelo": {
"url": "https://edge.vinkius.com/vk_preview_AratjXjIrNe435yir0rGqwDlmZZdTjbFgj4FW3dU/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Zinrelo
Ask Copilot: "Using Zinrelo, help me...". 9 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"zinrelo": {
"url": "https://edge.vinkius.com/vk_preview_AratjXjIrNe435yir0rGqwDlmZZdTjbFgj4FW3dU/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Zinrelo
Open Cascade and ask: "Using Zinrelo, help me...". 9 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"zinrelo": {
"url": "https://edge.vinkius.com/vk_preview_AratjXjIrNe435yir0rGqwDlmZZdTjbFgj4FW3dU/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Zinrelo
Ask Cline: "Using Zinrelo, help me...". 9 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add zinrelo --transport http "https://edge.vinkius.com/vk_preview_AratjXjIrNe435yir0rGqwDlmZZdTjbFgj4FW3dU/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Zinrelo
Ask Claude: "Using Zinrelo, show me...". 9 tools are ready
Where the request belongs
Work Zinrelo can move forward.
Marketing managers who need to run complex rewards campaigns, customer support reps who handle high volumes of balance inquiries, and e-commerce owners who want to automate member enrollment.
Marketing Manager
Runs loyalty campaigns and awards points for specific member activities without manual data entry.
Customer Support Rep
Checks real-time point balances and transaction histories during live chats to resolve member issues.
E-commerce Store Owner
Automates the enrollment of new customers into the rewards program during the checkout process.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Fidelizador
Build customer loyalty programs with points, rewards, and engagement campaigns that keep shoppers coming back.
Vouchery.io
Manage coupon, discount, and loyalty programs on Vouchery.io with AI agents.
Gameball
Automate loyalty programs and gamification via Gameball. manage customer profiles, track points, and handle order rewards directly from any AI agent.
Referrizer
Automate referral marketing and loyalty via Referrizer. manage contacts, referrals, and rewards directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Zinrelo connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Zinrelo.
The practical details behind the request, access and result.
Can the Zinrelo MCP help me manage rewards?
Yes, it lets your AI agent handle reward redemptions and point awards automatically. You can manage the entire rewards cycle through natural language.
How do I award points for purchases with Zinrelo MCP?
Your agent can use the award_points_purchase capability to add points to a member's account based on a completed sale, making it much faster than manual entry.
Can I see a member's full history with Zinrelo MCP?
Yes, the Zinrelo MCP can pull a full list of transaction history for any member, allowing you to see exactly how they've earned and spent points.
Does the Zinrelo MCP support new member enrollment?
Yes, it can enroll or update member profiles using natural language. This makes it easy to add new customers to your program during a conversation.
Can I use Zinrelo MCP for marketing campaigns?
Absolutely. You can use it to award points for specific activities, like signups or social shares, helping you run loyalty campaigns more efficiently.
How do I award points for a specific activity?
Use the award_points_activity capability 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 capability 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 capability to remove a specific amount of points from a user's loyalty balance.
One connection away
Give your agent a direct line to Zinrelo.
Connect Zinrelo once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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