# sequential-thinking-slim

> sequential-thinking-slim — mcpslim-sequential-thinking-slim. Use this tool when you need to optimize token usage in sequential thinking applications, reducing context window usage while preserving functionality. It solves problems related to inefficient resource allocation and high computational costs in MCP servers. Ideal for use cases where token optimization is crucial, it takes in sequential thinking tasks and outputs optimized results with reduced context window usage.

Canonical page: https://skillsregistry.net/skills/mcpslim-sequential-thinking-slim  
JSON: https://api.skillsregistry.net/v1/skills/mcpslim-sequential-thinking-slim

## Description

A token-optimized MCP server that reduces context window usage by 55% while preserving all functionality of the original Sequential Thinking server.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vdsll1oz0y)
- **Repository:** <https://github.com/mcpslim/sequential-thinking-slim>

## 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": "mcpslim-sequential-thinking-slim"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcpslim-sequential-thinking-slim` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcpslim-sequential-thinking-slim/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