# Search Engines Proxy

> Use this tool when you need to integrate multiple search engines into your AI application, as it provides a unified interface to access Brave Search, Metaso, and Bocha through a standardized API, handling authentication and rate limiting. It solves the problem of managing separate search engine integrations, allowing developers to incorporate web search capabilities without added complexity. This tool is ideal for use cases where a single, simplified search API is required, accepting search queries as input and returning formatted responses.

Canonical page: https://skillsregistry.net/skills/fengin-search-engines-proxy  
JSON: https://api.skillsregistry.net/v1/skills/fengin-search-engines-proxy

## Description

Search-Server provides a unified interface for AI assistants to access multiple search engines through a standardized API. The implementation integrates with Brave Search, Metaso, and Bocha search services, handling authentication, rate limiting, and response formatting for each provider. Built with Python and modern async libraries like httpx, aiohttp, and Playwright, it abstracts away the complexity of different search APIs while maintaining provider-specific features. This server is particularly valuable for developers who need to incorporate web search capabilities into AI applications without managing multiple search engine integrations separately.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/fengin-search-engines-proxy)
- **Repository:** <https://github.com/fengin/search-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": "fengin-search-engines-proxy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fengin-search-engines-proxy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fengin-search-engines-proxy/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