About intentlink
IntentLink is a commercial intent network for agents that matches conversation context to relevant offers and returns trackable purchase links. It is for agent builders seeking conversation-based commerce recommendations and revenue attribution without storing PII.
Key features
- 01Match intent to commercial offers
- 02Return trackable purchase links
- 03Attribute conversions to agent IDs
- 04Transient-context matching without PII storage
- 05REST API fallback
Use cases
- 01Add relevant product offers to agent responses
- 02Provide travel or local recommendations with purchase links
- 03Track attributed conversions for an agent
- 04Integrate through REST when MCP is unavailable
MCP support
The remotely hosted MCP server lets agents match user intent to commercial offers and return trackable purchase links. Connect using the remote MCP URL; an agent_id is supplied per tool call.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.intentlink.io/mcp/claude mcp add --transport http whalefuntech-intentlink https://api.intentlink.io/mcp/{"mcpServers":{"whalefuntech-intentlink":{"type":"http","url":"https://api.intentlink.io/mcp/"}}}Open in Cursor{"servers":{"whalefuntech-intentlink":{"type":"http","url":"https://api.intentlink.io/mcp/"}}}Open in VS Code{"mcpServers":{"whalefuntech-intentlink":{"type":"http","url":"https://api.intentlink.io/mcp/"}}}{"mcpServers":{"whalefuntech-intentlink":{"serverUrl":"https://api.intentlink.io/mcp/"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
3| Parameter | Type | Required | Description |
|---|---|---|---|
| limit | integer | No | |
| query | string | Yes | |
| intent | any | No | |
| agent_id | string | Yes | |
| keywords | any | No | |
| max_price | any | No | |
| min_price | any | No | |
| platforms | any | No | |
| commerce_l2s | any | No | |
| require_commission | any | No |
Details
From the project READMEIntentLink
Monetize your AI agent's conversations — natively, without banners.
IntentLink is a commercial intent network built for the AI agent era. Add the IntentLink MCP server (or REST API) to your agent, and it gains the ability to surface relevant, monetizable commerce recommendations directly inside its answers — not as an ad unit bolted on top, but as part of the conversation itself.
Website · Docs · Developer Dashboard · For Merchants & Partners
Why IntentLink
- Native to the conversation. Recommendations surface as part of the agent's answer — contextual and relevant, not a banner or pop-up.
- Zero UX disruption. Your agent stays your agent. No iframes, no forced redirects, no interruption of the conversation flow.
- You keep 80% of revenue. Transparent rev-share on every converted intent. No upfront fee, no platform fee — IntentLink only earns when you do.
- Privacy-first by design. No PII is stored. Intent matching runs on transient conversation context only, aligned with GDPR/CCPA.
- Works with any MCP-compatible runtime — Claude, OpenAI-compatible agents, LangChain, or custom stacks (a language-agnostic REST API is available as a fallback).
Quick Start
Add IntentLink as a remote MCP server:
{"mcpServers": {"intentlink": {"url": "https://api.intentlink.io/mcp/"}}}
Your agent_id is passed per tool call, not in the static config — get one at portal.intentlink.io.
Prefer REST? See the full docs for the language-agnostic API.
What it does
Once connected, your agent can match user intent to relevant commercial offers and return a trackable purchase link for the user to complete the transaction — attribution flows back to your agent_id automatically.
About this repo
This repository hosts public documentation and integration resources for IntentLink. The IntentLink MCP server itself is remotely hosted (not distributed as an installable package) — see Quick Start above to connect.
License
MIT — see LICENSE file for details.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.