# DeepSeek

> Use this tool when you need to automate code generation, completion, and optimization across multiple programming languages, and want to leverage AI-powered coding capabilities to improve development efficiency. DeepSeek provides a robust API interface for inputting coding tasks and receiving optimized code outputs, making it ideal for applications requiring intelligent code completion and performance optimization. It is particularly useful in contexts where automated coding tasks can enhance productivity and reduce development costs.

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

## Description

This DeepSeek MCP server, developed using TypeScript, provides code generation and completion capabilities through the DeepSeek API. It offers tools for generating, completing, and optimizing code across multiple languages, with support for tool chaining to combine operations. The server implements caching strategies and metadata tracking for cost optimization. Built on the MCP SDK and Axios for API interactions, it enables AI systems to perform complex coding tasks efficiently. This implementation is particularly useful for applications requiring automated code generation, intelligent code completion, and performance optimization across various programming languages.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

## 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": "sheshiyer-deepseek"
    }
  }
}
```

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