# Advanced Reasoning

> Use this tool when you need to tackle complex problem-solving tasks in software development, such as algorithm optimization, architecture design, and code refactoring. It provides advanced reasoning capabilities through simulated algorithms, including Monte Carlo Tree Search and Hybrid Reasoning, to generate structured JSON responses with reasoning traces. Ideal for contexts where auto-iterative reasoning is required to complete multiple steps in a single call.

Canonical page: https://skillsregistry.net/skills/azdeltaqq-reasoning  
JSON: https://api.skillsregistry.net/v1/skills/azdeltaqq-reasoning

## Description

MCP Reasoning Server provides advanced reasoning capabilities for Claude in Cursor AI through simulated reasoning algorithms including Monte Carlo Tree Search, Beam Search, R1 Transformer, and Hybrid Reasoning. Built by AzDeltaQQ (inspired by Jacck's mcp-reasoner), it implements auto-iterative reasoning that completes all steps in a single tool call, returning structured JSON responses with reasoning traces. The server is designed for complex problem-solving tasks in software development contexts like algorithm optimization, architecture design, and code refactoring.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/azdeltaqq-reasoning)
- **Repository:** <https://github.com/azdeltaqq/mcp-reasoning-server>

## 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": "azdeltaqq-reasoning"
    }
  }
}
```

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