# mcp-think

> mcp-think — luna-agente-mcp-think. Use this tool when you need to organize and manage complex sequential processes, breaking them down into structured steps with persistent state. It solves problems of disorganized workflows and enables collaborative thinking by providing a remote server for creating, revising, and tracking sequences. Ideal for use cases requiring sequential logic and state management, with inputs of step definitions and outputs of managed sequences.

Canonical page: https://skillsregistry.net/skills/luna-agente-mcp-think  
JSON: https://api.skillsregistry.net/v1/skills/luna-agente-mcp-think

## Description

A remote MCP server for structured sequential thinking, enabling users to create, revise, and manage sequences of steps with persistent state via Cloudflare Workers and Durable Objects.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c8m4ajszf3)
- **Repository:** <https://github.com/luna-agente/mcp-think>

## 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": "luna-agente-mcp-think"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luna-agente-mcp-think` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luna-agente-mcp-think/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