README Documentation
DeepSeek MCP Server
An MCP server implementation that provides code generation and completion capabilities using the DeepSeek API, with support for tool chaining and cost optimization.
Features
- Code generation with language-specific support
- Code completion with context awareness
- Code optimization with multiple targets
- Tool chaining for complex operations
- Built-in caching for cost optimization
- TypeScript implementation with full type safety
Tools
1. generate_code
Generate code using DeepSeek API with language-specific support.
{
"name": "generate_code",
"params": {
"prompt": "Write a function that sorts an array",
"language": "typescript",
"temperature": 0.7
}
}
2. complete_code
Get intelligent code completions based on existing context.
{
"name": "complete_code",
"params": {
"code": "function processData(data) {",
"prompt": "Add input validation and error handling",
"temperature": 0.7
}
}
3. optimize_code
Optimize existing code for performance, memory usage, or readability.
{
"name": "optimize_code",
"params": {
"code": "your code here",
"target": "performance"
}
}
4. execute_chain
Execute a chain of tools in sequence, with context passing between steps.
{
"name": "execute_chain",
"params": {
"steps": [
{
"toolName": "generate_code",
"params": {
"prompt": "Create a REST API endpoint",
"language": "typescript"
}
},
{
"toolName": "optimize_code",
"params": {
"target": "performance"
}
}
]
}
}
Installation
- Clone the repository
- Install dependencies:
npm install
- Build the project:
npm run build
- Configure your DeepSeek API key in the MCP settings file:
{
"mcpServers": {
"deepseek": {
"command": "node",
"args": ["/path/to/deepseek-mcp/build/index.js"],
"env": {
"DEEPSEEK_API_KEY": "your-api-key"
}
}
}
}
Usage
The server can be used with any MCP-compatible client. Here's an example using the MCP CLI:
mcp use deepseek generate_code --params '{"prompt": "Write a hello world program", "language": "python"}'
Tool Chaining
Tool chaining allows you to combine multiple operations into a single workflow. Each tool in the chain can access the results of previous tools through the chain context.
Example chain:
- Generate initial code
- Complete the code with error handling
- Optimize the final result
{
"steps": [
{
"toolName": "generate_code",
"params": {
"prompt": "Create a user authentication function",
"language": "typescript"
}
},
{
"toolName": "complete_code",
"params": {
"prompt": "Add input validation and error handling"
}
},
{
"toolName": "optimize_code",
"params": {
"target": "security"
}
}
]
}
Cost Optimization
The server implements several strategies to optimize API costs:
- Request caching with TTL
- Chain result caching
- Smart prompt construction
- Metadata tracking for usage analysis
Development
To start development:
npm run dev
To clean and rebuild:
npm run rebuild
Requirements
- Node.js >= 18.0.0
- DeepSeek API key
- MCP-compatible client
License
ISC