# Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP

> Use this tool when you need to enhance AI response generation with structured reasoning, solving problems that require both logical analysis and creative output. It takes in input prompts and returns refined, contextually relevant responses, leveraging DeepSeek's reasoning and Claude's language generation capabilities. Ideal for use cases where nuanced, well-reasoned outputs are crucial, such as complex query answering or text-based dialogue systems.

Canonical page: https://skillsregistry.net/skills/niko91i-mcp-deepseek-v3-et-claude-desktop  
JSON: https://api.skillsregistry.net/v1/skills/niko91i-mcp-deepseek-v3-et-claude-desktop

## Description

A Model Context Protocol server that combines DeepSeek R1's reasoning capabilities with Claude 3.5 Sonnet's response generation, enabling two-stage AI processing where DeepSeek's structured reasoning enhances Claude's final outputs.

## 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/c4kobnk28y)
- **Repository:** <https://github.com/niko91i/MCP-deepseek-V3-et-claude-desktop>

## 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": "niko91i-mcp-deepseek-v3-et-claude-desktop"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/niko91i-mcp-deepseek-v3-et-claude-desktop` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/niko91i-mcp-deepseek-v3-et-claude-desktop/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