About SnapLinker MCP
Model Context Protocol integration for affiliate link generation
What is SnapLinker MCP?
SnapLinker MCP is a Model Context Protocol (MCP) server that enables AI applications to generate affiliate links, search products, and access AvantLink's affiliate network capabilities. By implementing the open MCP standard, SnapLinker makes it easy for AI assistants, content tools, and development environments to monetize content with affiliate links.
"We built SnapLinker MCP to bridge the gap between AI and affiliate marketing, creating new opportunities for content monetization in the age of AI-assisted content creation."
Understanding Model Context Protocol (MCP)
Model Context Protocol is an open standard that enables AI applications to communicate with external services and tools. It allows AI models to access and manipulate real-world data securely while maintaining user privacy and control.
As a standardized interface between AI systems and external capabilities, MCP is supported by a growing ecosystem of AI clients including Claude Desktop, GitHub Copilot, Cursor, LibreChat, Windsurf Editor, and many others.
Key MCP Features
- Tools: Define executable functions that AI can use
- Resources: Expose data that AI can read
- Prompts: Create reusable templates for common AI tasks
- Sampling: Allow servers to request AI completions
SnapLinker MCP Tools
SnapLinker MCP provides a suite of tools that AI models can use to generate affiliate links and search for products:
generateAffiliateLink
Convert any product URL into a monetized affiliate link with a single request.
generateAffiliateLinks
Batch convert multiple URLs into affiliate links in one operation.
searchProducts
Search across the AvantLink merchant network for products, with extensive filtering options.
getDefaultWebsiteId
Retrieve the default website ID associated with an affiliate account.
getAllWebsites
Get all websites associated with an affiliate account for advanced integration.
How SnapLinker MCP Works
SnapLinker MCP is built on Cloudflare Workers and leverages the Model Context Protocol to expose affiliate link generation capabilities to AI applications:
Technical Architecture
- MCP Agent Implementation: SnapLinker extends the McpAgent class to create a custom MCP server.
- Tool Definition: Tools are defined with parameter schemas using Zod for validation.
- Affiliate Services: Backend services handle affiliate link generation and product searches.
- AvantLink Integration: Secure API connections to AvantLink's affiliate network.
- Cloudflare Worker: Deployed as a serverless function for global availability.
Communication Flow
When an AI client (like Claude Desktop or GitHub Copilot) connects to SnapLinker MCP:
- The client initializes a connection with the SnapLinker MCP server
- The server advertises available tools
- The AI can invoke these tools during conversation with users
- SnapLinker processes requests and returns affiliate links or product data
- The AI presents this information to the user
Compatible MCP Clients
SnapLinker MCP works with a growing ecosystem of AI applications that support the Model Context Protocol:
Claude Desktop
Anthropic's desktop application provides direct integration with MCP servers.
GitHub Copilot
Microsoft's AI pair programmer supports MCP in Visual Studio Code.
Cursor
AI-powered code editor with built-in MCP capabilities.
Continue
Open-source AI code assistant compatible with MCP.
Cline
Autonomous coding agent with MCP support.
Many More
The MCP ecosystem is rapidly growing with new clients regularly adding support.
For a comprehensive list of MCP-compatible clients, see the official MCP clients page.
Setting Up SnapLinker MCP
Getting started with SnapLinker MCP is easy:
For End Users
- Sign up for an AvantLink affiliate account
- Install the SnapLinker app from the AvantLink marketplace
- Configure your MCP-compatible AI client to connect to
https://mcp.snaplinker.com/sse/{YOUR_MCP_TOKEN}
- You will need to get your MCP token from the SnapLinker MCP install page on AvantLink
For Developers
To integrate SnapLinker MCP into your application:
- Use the MCP TypeScript SDK or another MCP client library
- Connect to the SnapLinker MCP endpoint
- List available tools and execute them as needed
- Process the returned affiliate links or product data
Example Integration with the MCP TypeScript SDK:
import { McpClient } from "@modelcontextprotocol/sdk";
// Initialize client
const client = new McpClient({
serverUrl: "https://mcp.snaplinker.com/sse/{YOUR_MCP_TOKEN}",
});
// Connect to server
await client.connect();
// List available tools
const tools = await client.listTools();
console.log(tools);
// Generate an affiliate link
const result = await client.executeTool("generateAffiliateLink", {
url: "https://www.example.com/product"
});
console.log(result);
Use Cases
SnapLinker MCP enables powerful new affiliate marketing workflows in the age of AI:
AI Content Creation
Enable AI writing assistants to automatically monetize content with relevant affiliate links while drafting articles.
Product Research
Allow AI agents to search for and recommend products across multiple merchants in a single conversation.
Bulk Link Generation
Process large volumes of content and automatically convert standard links to affiliate links.
Developer Workflow
Integrate affiliate link generation directly into development environments and content management systems.
Email Campaigns
Generate affiliate links for email marketing campaigns with AI-powered content creation.
Social Media
Create monetized social media posts with product recommendations and affiliate links.
Ready to Start?
Bring affiliate link generation to your AI workflows with SnapLinker MCP.