# DeepSeek

> Use this tool when you need to integrate advanced language models into your applications, such as AI-assisted writing, code generation, and complex reasoning tasks. DeepSeek provides a chat completion tool with customizable parameters like model selection and temperature control, simplifying access to powerful AI capabilities through a standardized interface. It is ideal for developers and researchers seeking to leverage state-of-the-art language models without navigating API complexities.

Canonical page: https://skillsregistry.net/skills/dmontgomery40-deepseek  
JSON: https://api.skillsregistry.net/v1/skills/dmontgomery40-deepseek

## Description

This DeepSeek MCP server, developed by David Montgomery, enables seamless integration of DeepSeek's advanced language models with MCP-compatible applications like Claude Desktop. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides a chat completion tool with customizable parameters such as model selection, temperature control, and token limits. The implementation focuses on simplifying access to DeepSeek's powerful AI capabilities through a standardized interface. It's particularly useful for developers and researchers looking to incorporate state-of-the-art language models into their applications without dealing directly with DeepSeek's API intricacies, enabling use cases like AI-assisted writing, code generation, and complex reasoning tasks.

## 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:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dmontgomery40-deepseek)
- **Repository:** <https://github.com/dmontgomery40/deepseek-mcp-server>

## 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": "dmontgomery40-deepseek"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dmontgomery40-deepseek` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dmontgomery40-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