# RAT MCP Server

> Use this tool when you need to facilitate advanced conversation analysis and two-stage reasoning processes, solving complex interaction problems by leveraging multiple response models. It takes in conversation context and detailed analysis inputs, generating enhanced AI-driven interaction outputs. Ideal for use cases requiring nuanced and informed dialogue management, such as customer service or language understanding applications.

Canonical page: https://skillsregistry.net/skills/newideas99-deepseek-thinking-claude-3-5-sonnet-cline-mcp  
JSON: https://api.skillsregistry.net/v1/skills/newideas99-deepseek-thinking-claude-3-5-sonnet-cline-mcp

## Description

Facilitates two-stage reasoning processes using DeepSeek for detailed analysis and supports multiple response models such as Claude 3.5 Sonnet and OpenRouter, maintaining conversation context and enhancing AI-driven interactions.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t0ykwg3k7n)
- **Repository:** <https://github.com/newideas99/Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-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": "newideas99-deepseek-thinking-claude-3-5-sonnet-cline-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/newideas99-deepseek-thinking-claude-3-5-sonnet-cline-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/newideas99-deepseek-thinking-claude-3-5-sonnet-cline-mcp/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