MCP ExplorerExplorer

Deepseek Mcp With Moe

@Sheshiyeron a year ago
3 MIT
FreeCommunity
AI Systems
DeepSeek MCP Server for code generation, completion, and optimization.

Overview

What is Deepseek Mcp With Moe

DeepSeek MCP Server is an implementation that offers code generation and completion capabilities using the DeepSeek API, designed for tool chaining and cost optimization.

Use cases

Use cases include generating REST API endpoints, optimizing existing code for performance, and executing a sequence of tools for complex coding tasks.

How to use

To use DeepSeek MCP, clone the repository, install dependencies with ‘npm install’, build the project using ‘npm run build’, and configure your DeepSeek API key in the MCP settings file.

Key features

Key features include language-specific code generation, context-aware code completion, performance and memory optimization, tool chaining for complex operations, built-in caching for cost efficiency, and TypeScript implementation with full type safety.

Where to use

DeepSeek MCP can be utilized in software development, particularly in environments requiring automated code generation, optimization, and intelligent code completion.

Content

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

Tools

No tools

Comments

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