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DeepSeek MCP

Model Context Protocol Integration

Overview

Integrates with the DeepSeek API to provide code generation, completion, and optimization across multiple languages using tool chaining and caching strategies.

DeepSeek

Integrates with the DeepSeek API to provide code generation, completion, and optimization across multiple languages using tool chaining and caching strategies.

Installation Instructions


README: https://github.com/Sheshiyer/deepseek-mcp-with-MoE

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

  1. Clone the repository
  2. Install dependencies:
npm install
  1. Build the project:
npm run build
  1. 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:

  1. Generate initial code
  2. Complete the code with error handling
  3. 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:

  1. Request caching with TTL
  2. Chain result caching
  3. Smart prompt construction
  4. 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

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