# OriginSelect

> Use this tool when you need to discover products and brands that align with your ethical values, or when searching for specific categories and origins across Canada and the United States. OriginSelect solves problems of conscious consumerism by providing curated and filterable search results based on criteria such as women-owned, veteran-owned, and fair-trade. It accepts inputs such as country of origin, category, and price, and outputs a refined list of products from verified brands.

Canonical page: https://skillsregistry.net/skills/originselect  
JSON: https://api.skillsregistry.net/v1/skills/originselect

## Description

OriginSelect provides AI-powered discovery of values-aligned products and brands across Canada and the United States. The server connects to the OriginSelect API to search curated products from verified brands, filterable by ethical values (women-owned, veteran-owned, B-Corp, organic, fair-trade, and more), country of origin, category, and price. It supports search refinement without re-querying from scratch.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/originselect)
- **Repository:** <https://github.com/chhavimishra/originselect-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "originselect"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/originselect` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/originselect/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
