# Gigaplexity

> Gigaplexity — alexsvdk-gigaplexity. Use this tool when you need to leverage advanced AI capabilities for research and analysis, or require a web-connected search assistant with multi-step investigation capabilities. Gigaplexity solves complex information retrieval and analysis problems by providing quick answers, deep research, and step-by-step reasoning tools. It accepts file attachments and authenticates via browser cookies, making it ideal for use cases involving document, image, and audio analysis.

Canonical page: https://skillsregistry.net/skills/alexsvdk-gigaplexity  
JSON: https://api.skillsregistry.net/v1/skills/alexsvdk-gigaplexity

## Description

An MCP server that turns GigaChat (a Russian AI model by Sber) into a web-connected search assistant. Provides three tools: ask for quick answers with citations, research for deep multi-step investigations, and reason for step-by-step analysis. Supports file attachments including documents, images, and audio. Authenticates via GigaChat browser cookies.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/alexsvdk-gigaplexity)
- **Repository:** <https://github.com/alexsvdk/gigaplexity-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": "alexsvdk-gigaplexity"
    }
  }
}
```

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