DeepSeek MCP Server
Supports running the MCP server on Node.js, with requirements specifying Node.js >= 18.0.0 for proper execution of the TypeScript implementation.
Enables code generation in Python through the DeepSeek API, allowing users to create Python programs with language-specific optimizations.
Provides code generation and completion capabilities with language-specific support for TypeScript, enabling users to generate, complete, and optimize TypeScript code with full type safety.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@DeepSeek MCP Servergenerate a Python function to calculate Fibonacci numbers up to n"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: mentor-mcp-server
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 installBuild the project:
npm run buildConfigure 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 devTo clean and rebuild:
npm run rebuildRequirements
Node.js >= 18.0.0
DeepSeek API key
MCP-compatible client
License
ISC
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