Server detail
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.
An MCP server that exposes iwant.fyi capabilities to MCP-compatible AI clients.
Collections featuring this MCP
Tool testing
iwant-fyi
Call the MCP capabilities provided by iwant.fyi and return a structured result.
inputPass arguments according to the server tool schema.Connection modes
{
"mcpServers": {
"iwant.fyi": {
"url": "Generated by the provider after deployment"
}
}
}The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.
No npm package is recorded. Open the source repository to complete command and args.If no npm package is registered, follow the installation method in the source repository.
How to use
- 01Step 1
Review server capabilities and permission scope.
- 02Step 2
Copy the install command or JSON configuration.
- 03Step 3
Run a small connection test in your client.
- 04Step 4
Adopt it long term only after reviewing access and maintenance.
Discussions
Use this space to keep checking source information, usage experience and maintenance status.
Open source page