# mcp-server-mas-sequential-thinking

> mcp-server-mas-sequential-thinking — fradser-mcp-server-mas-sequential-thinking. Use this tool when you need to implement complex decision-making processes or solve multi-step problems through a coordinated sequence of actions. It solves challenges requiring distributed intelligence, autonomous agent interactions, and dynamic problem-solving, providing outputs in the form of optimized solutions or coordinated plans. Ideal for use cases involving dynamic systems, resource allocation, or scheduling, with inputs including problem definitions and agent specifications, and outputs comprising solution sets and performance metrics.

Canonical page: https://skillsregistry.net/skills/fradser-mcp-server-mas-sequential-thinking  
JSON: https://api.skillsregistry.net/v1/skills/fradser-mcp-server-mas-sequential-thinking

## Description

An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.

## Trust

- **Trust score (0–1):** 0.25
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/FradSer/mcp-server-mas-sequential-thinking)

## 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": "fradser-mcp-server-mas-sequential-thinking"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fradser-mcp-server-mas-sequential-thinking` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fradser-mcp-server-mas-sequential-thinking/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