# MiniMax Search MCP Server

> Use this tool when you need to efficiently process large volumes of web data with intelligent content understanding. The MiniMax Search MCP Server enables parallel web search and batch browsing, solving problems related to information overload and slow data processing. It takes in web queries and outputs relevant, intelligently filtered results, ideal for applications requiring rapid and accurate data retrieval.

Canonical page: https://skillsregistry.net/skills/minimax-ai-minimax-search  
JSON: https://api.skillsregistry.net/v1/skills/minimax-ai-minimax-search

## Description

MCP server enabling parallel web search and batch browsing with intelligent content understanding via MiniMax LLM.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/csf3l7i0wc)
- **Repository:** <https://github.com/MiniMax-AI/minimax_search>

## 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": "minimax-ai-minimax-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/minimax-ai-minimax-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/minimax-ai-minimax-search/pull`

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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