# Deepseek

> Use this tool when you need to integrate Deepseek models with Claude Desktop for enhanced language processing and specialized task completion. It solves problems by providing a simple API bridge between the two, enabling access to Deepseek's AI capabilities without direct API interaction. The tool takes Claude requests as input and outputs Deepseek model results, ideal for use cases requiring extended functionality and specialized features.

Canonical page: https://skillsregistry.net/skills/vincentf305-deepseek  
JSON: https://api.skillsregistry.net/v1/skills/vincentf305-deepseek

## Description

This MCP server, developed by vincentf305, enables integration between Claude Desktop and Deepseek models. Built with Python and Docker, it provides a bridge for Claude to leverage Deepseek's AI capabilities through a simple API. The implementation focuses on ease of setup and configuration, with features like environment variable management and Docker containerization. It's particularly useful for users wanting to extend Claude's functionality with Deepseek's models, enabling use cases such as enhanced language processing, specialized task completion, or access to Deepseek-specific features without directly interacting with the Deepseek API.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/vincentf305-deepseek)
- **Repository:** <https://github.com/vincentf305/mcp-server-deepseek>

## 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": "vincentf305-deepseek"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vincentf305-deepseek` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vincentf305-deepseek/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