Love Campus Sales Agent
site.chatgpt.the-love-cam-1555.love-campus-sales-agentv0.2.0Updated Oct 10, 2026
Discover Marriage College products, match a budget, and prepare a customer-reviewed basket purchase.
Overview
AI-generated overview
Lets an assistant browse Marriage College products, match them to a budget, and prepare a customer-reviewed basket purchase.
- What it does
- This remote MCP server exposes a sales-agent workflow for Marriage College products. According to its description, it lets an assistant discover products, match a selection to a stated budget, and assemble a basket that the customer reviews before purchase. No individual tools are listed in the manifest, so the exact operations are not documented.
- When to use it
- Worth considering when an assistant needs to help a customer explore Marriage College offerings, stay within a budget, and put together a basket for the customer to confirm. It is not a general-purpose shopping or catalog server.
- Requirements
- Runs as a remote streamable HTTP endpoint; no local runtime, package, environment variables, or headers are declared. No authentication is declared, and no accounts or API keys are documented.
Before you install
The description mentions preparing a basket purchase, so the server may take part in ordering or spending money; confirm what is actually charged and who approves it. No authentication is declared, so treat any data sent to the endpoint as unauthenticated. The manifest lists no tools, so verify the real capabilities before relying on it.
Installation
In SourceWeft
- Open Love Campus Sales Agent in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"commerce-agent": {
"type": "http",
"url": "https://love-campus-sales-agent.the-love-cam-1555.chatgpt.site/agent/mcp"
}
}
}Tools
0Tool metadata has not been indexed yet.
Version history
1- v0.2.0LatestOct 10, 2026