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channel3-ai

Channel3 MCP Server

Official
by channel3-ai

Channel3 MCP Server

Quick Start (Free Tier)

No API key required. Connect directly and start searching:

https://mcp.trychannel3.com/

The free tier is rate-limited to 10 requests per minute per IP address. If you hit the limit, you'll receive an error response.

Related MCP server: Ecomm MCP Server

Unlimited Access

For unlimited usage and affiliate tracking, create an account and add your API key:

  1. Create an account at trychannel3.com and create an API key to authenticate requests and affiliate purchases to your account.

  2. Add the Channel3 MCP to your agent with ?apiKey=<your-api-key> in the URL as such:

https://mcp.trychannel3.com/?apiKey=placeholder

Cursor

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "Channel3": {
      "url": "https://mcp.trychannel3.com/?apiKey=<your-api-key>"
    }
  }
}

To use the free tier (no API key, rate-limited), omit the apiKey parameter:

{
  "mcpServers": {
    "Channel3": {
      "url": "https://mcp.trychannel3.com/"
    }
  }
}

VS Code

Add to .vscode/mcp.json:

{
  "servers": {
    "Channel3": {
      "type": "http",
      "url": "https://mcp.trychannel3.com/?apiKey=<your-api-key>"
    }
  }
}

Claude Code

claude mcp add --transport http Channel3 "https://mcp.trychannel3.com/?apiKey=<your-api-key>"

Claude Desktop

Add to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "Channel3": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.trychannel3.com/sse?apiKey=<your-api-key>"
      ]
    }
  }
}

OpenAI Agents SDK (Python)

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    async with MCPServerStreamableHttp(
        name="Channel3",
        params={
            "url": "https://mcp.trychannel3.com/?apiKey=<your-api-key>",
        },
        cache_tools_list=True,
    ) as server:
        agent = Agent(
            name="Shopping Agent",
            instructions="You are a personal shopping assistant.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "I'm looking for a new laptop")
        print(result.final_output)

asyncio.run(main())

OpenAI Agents SDK (TypeScript)

import { Agent, run, MCPServerStreamableHttp } from "@openai/agents";

const server = new MCPServerStreamableHttp({
  url: "https://mcp.trychannel3.com/?apiKey=<your-api-key>",
  name: "Channel3",
});

await server.connect();
const agent = new Agent({
  name: "Shopping Agent",
  instructions: "You are a personal shopping assistant.",
  mcpServers: [server],
});
const result = await run(agent, "I'm looking for a new laptop");
console.log(result.finalOutput);
await server.close();

Local Testing

  1. Start the dev server: pnpm run dev

  2. Start MCP Inspector: npx @modelcontextprotocol/inspector

  3. In the MCP Inspector UI:

    • Transport Type: Streamable HTTP

    • URL: http://localhost:8787/?apiKey=<YOUR_API_KEY>

    • Click Connect

A
license - permissive license
-
quality - not tested
C
maintenance

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