Home / MCP / DeepSeek MCP Server
Provides code generation, completion, and optimization via DeepSeek API with tool chaining and cost-optimized caching.
Configuration
View docs{
"mcpServers": {
"deepseek": {
"command": "node",
"args": [
"/path/to/deepseek-mcp/build/index.js"
],
"env": {
"DEEPSEEK_API_KEY": "your-api-key"
}
}
}
}You can use this MCP server to generate, complete, and optimize code with DeepSeek, chaining tools for complex workflows while keeping costs in check. It provides a TypeScript implementation with strong typing and easy integration into MCP-compatible clients.
Start by ensuring you have a compatible MCP client and the necessary access to the DeepSeek API. You can invoke generation, completion, and optimization steps individually or chain them together to form a workflow that sustains context across steps.
Typical usage patterns include generating initial code, progressively refining it with completions and validations, and then optimizing the final result for performance or readability. You can run a sequence where you first create code, then add error handling and input validation, and finally optimize for a target such as performance or security.
To try a concrete example from a client, request code generation for a specific task and language, then progressively enhance the results. For instance, generate a REST API endpoint in TypeScript, then apply a completion pass for error handling, followed by optimization aimed at performance.
Prerequisites you need before installing this MCP server: Node.js version 18 or newer, a DeepSeek API key, and an MCP-compatible client.
Install dependencies and build the project, then configure your MCP settings to authenticate with the DeepSeek API.
npm install
```
```
npm run buildConfigure your MCP settings to point to the DeepSeek MCP server and provide the API key required for authentication.
{"mcpServers": {
"deepseek": {
"command": "node",
"args": ["/path/to/deepseek-mcp/build/index.js"],
"env": {
"DEEPSEEK_API_KEY": "your-api-key"
}
}
}}Use your MCP client to invoke generation, completion, and optimization tasks by name and pass parameters as needed.
mcp use deepseek generate_code --params '{"prompt": "Write a hello world program", "language": "python"}'Generate code using DeepSeek API with language-specific support, given a prompt and language.
Provide intelligent code completions based on existing context and a guiding prompt.
Optimize code for a chosen target such as performance or readability.
Run a sequence of tools in order, passing context between steps to form a cohesive workflow.