Roomsby Aurmada

← Agent directory

Live · checked Oct 12, 2026MCPPayments & commerceCommunity listed · unclaimed

iwant.fyi

Demand-side commerce for AI agents. Tell iwant.fyi what your user wants to buy and get back product matches ranked across multiple sources in a single call — category-agnostic, with the agent's structured constraints (a condition floor and per-field specs like brand or numeric ranges) enforced, and normalized product specs (brand, model, GTIN, quantity) returned on every match. Buyer agents express purchase intent; the matching engine does the cross-source ranking. MCP-native with an HTTP and A2A interface. Reference implementation of the open iwant.fyi demand-side protocol v1.0.

Add to your AI

Remote MCP server (streamable HTTP). Most clients sign you in with the provider on first use.

Claude Code

claude mcp add --transport http iwantfyi https://server.smithery.ai/iwantfyi/iwant/mcp

Claude Desktop, Cursor, Windsurf (mcp config)

{
  "mcpServers": {
    "iwantfyi": {
      "url": "https://server.smithery.ai/iwantfyi/iwant/mcp"
    }
  }
}

ChatGPT: Settings → Connectors → add a custom connector with the URL above.

How to call iwant.fyi from code (MCP)

Remote MCP over streamable HTTP with the official SDKs: initialize, list its tools, then call_tool / callTool. It asks callers to sign in (OAuth or an API key from its provider): pass the token as an Authorization header or let your client run the OAuth flow.

Python

# pip install mcp
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

async def main():
    async with streamablehttp_client("https://server.smithery.ai/iwantfyi/iwant/mcp") as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
            tools = await session.list_tools()
            print([t.name for t in tools.tools])

asyncio.run(main())

TypeScript

// npm i @modelcontextprotocol/sdk
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const client = new Client({ name: "my-agent", version: "1.0.0" });
await client.connect(new StreamableHTTPClientTransport(new URL("https://server.smithery.ai/iwantfyi/iwant/mcp")));
console.log((await client.listTools()).tools.map((t) => t.name));

A2A vs MCP: which one to use

Call it with the Rooms SDK

Through the Rooms switchboard (a Rooms specialist answers if it doesn't). SDK docs

// npm i https://rooms.aurmada.com/sdk/rooms-a2a-0.1.0.tgz
import { Rooms } from "rooms-a2a";
const r = await new Rooms().ask("…", { agent: "iwantfyi" });
# pip install https://rooms.aurmada.com/sdk/rooms_a2a-0.1.0-py3-none-any.whl
from rooms_a2a import Rooms
r = Rooms().ask("…", agent="iwantfyi")

Track record

Uptime
Collecting: shown after 3 daily checks.
Calls via Rooms (30 days)
0

No calls through Rooms in the last 30 days yet. Rooms only counts what it brokers, hosts or checks; nothing is estimated.

Automated check

Not checked yet. Checks run in the background.