DeepSeek
About
Integrates DeepSeek's language models, enabling AI-powered chat completions with customizable parameters for tasks like writing assistance and code generation.
Details
- Author
- dmontgomery40
- Repository
- DMontgomery40/deepseek-mcp-server
- GitHub stars
- 201
- Downloads
- 6,992
- License
- MIT License
- Categories
- Cloud Service, AI, API, Productivity, Developer Tools, Design, Community, Search, Communication, Infrastructure, Project Management, Other
- Tags
- #integration
Jump to
- Chat completions with deepseek-v4-flash and deepseek-v4-pro
- FIM (fill-in‑the‑middle) completion with deepseek-v4-pro
- List models and check account balance
- In‑memory conversation history with reset and list tools
- Supports streaming, thinking, reasoning effort, JSON output, and function tools
- Official MCP Registry listing and OCI container image
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
DeepSeekCommand (node, npx, python, etc.)npxArguments-
Argument 1
deepseek-mcp-server
Environment-
DEEPSEEK_API_KEY
REPLACE_WITH_DEEPSEEK_KEY
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Run locally via npx deepseek-mcp-server or Docker, setting the DEEPSEEK_API_KEY environment variable. Alternatively, connect to the hosted remote at https://deepseek-mcp.ragweld.com/mcp using a bearer token. Transport is stdio by default; HTTP can be configured via environment variables.
chat_completion
DeepSeek V4 chat. Defaults to deepseek-v4-flash. Supports parameters: thinking (object with type enabled or disabled), reasoning_effort (string: low, high, max), JSON output, function tools, logprobs, streaming, and conversation memory.
create_response
Stateless native Responses API calls with text or structured input. Supports reasoning effort controls, function tools, server-side web search, structured output, and semantic streaming.
completion
DeepSeek V4 Pro FIM completion. Defaults to deepseek-v4-pro.
list_models
Reads the live DeepSeek model list.
get_user_balance
Reads account balance and availability.
reset_conversation
Clears an in-memory conversation.
list_conversations
Lists in-memory conversation IDs.
- chat_completion: DeepSeek V4 chat. Defaults to deepseek-v4-flash. Supports thinking: { "type": "enabled" | "disabled" }, reasoning_effort: "low" | "high" | "max", JSON output, function tools, logprobs, streaming, and conversation memory.
- create_response: Stateless native Responses API calls with text or structured input, reasoning effort controls, function tools, server-side web search, structured output, and semantic streaming.
- completion: DeepSeek V4 Pro FIM completion. Defaults to deepseek-v4-pro.
- list_models: Reads the live DeepSeek model list.
- get_user_balance: Reads account balance and availability.
- reset_conversation: Clears an in-memory conversation.
- list_conversations: Lists in-memory conversation IDs.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"deepseek": {
"env": {
"DEEPSEEK_API_KEY": "REPLACE_WITH_DEEPSEEK_KEY"
},
"args": [
"deepseek-mcp-server"
],
"command": "npx"
}
}
}Linux
{
"env": {
"DEEPSEEK_API_KEY": "REPLACE_WITH_DEEPSEEK_KEY"
},
"args": [
"deepseek-mcp-server"
],
"command": "npx"
}Macos
{
"env": {
"DEEPSEEK_API_KEY": "REPLACE_WITH_DEEPSEEK_KEY"
},
"args": [
"deepseek-mcp-server"
],
"command": "npx"
}Windows
{
"env": {
"DEEPSEEK_API_KEY": "REPLACE_WITH_DEEPSEEK_KEY"
},
"args": [
"/c",
"npx",
"deepseek-mcp-server"
],
"command": "cmd"
}Sign in to leave a review
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