# Deepseek R1 MCP Server

> Use this tool when you need to integrate a large context window language model into your application, or require advanced reasoning tasks with extensive contextual understanding. The Deepseek R1 MCP Server solves problems related to natural language processing and context-dependent query resolution, providing a robust interface for inputting complex queries and receiving relevant outputs. It is particularly useful in scenarios where Claude Desktop integration is necessary, such as advanced AI-driven desktop applications.

Canonical page: https://skillsregistry.net/skills/kamelirzouni-mcp-server-deepseek-r1  
JSON: https://api.skillsregistry.net/v1/skills/kamelirzouni-mcp-server-deepseek-r1

## Description

A Node.js/TypeScript implementation of a Model Context Protocol server for the Deepseek R1 language model, optimized for reasoning tasks with a large context window and fully integrated with Claude Desktop.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-04-23

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qui5thpyvu)
- **Repository:** <https://github.com/kamelirzouni/MCP-server-Deepseek_R1>

## 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": "kamelirzouni-mcp-server-deepseek-r1"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kamelirzouni-mcp-server-deepseek-r1` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kamelirzouni-mcp-server-deepseek-r1/pull`

---
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