# SearchAgora

> Use this tool when you need to integrate universal product search into a conversational interface, enabling users to discover and purchase products from thousands of online stores using natural language interactions. It solves problems of product discovery, filtering, and purchasing, accepting inputs such as customizable parameters and returning detailed product information and purchase options. Ideal for shopping workflows, it provides a seamless conversation-based shopping experience.

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

## Description

Agora MCP server connects AI assistants like Claude or Cursor to SearchAgora, a universal product search engine that helps users discover and purchase products from thousands of online stores. Built by Fewsats, this implementation enables natural language interactions for searching products with customizable parameters (price ranges, sorting options, pagination), viewing detailed product information, and completing purchases directly through the AI assistant. The server uses FastMCP to expose these capabilities as tools that can be called programmatically, making it valuable for shopping workflows where product discovery and purchasing are needed without leaving the conversation interface.

## 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/searchagora)
- **Repository:** <https://github.com/fewsats/agora-mcp>

## 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": "searchagora"
    }
  }
}
```

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