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MCP Server

Coding Assistant Server

Server that enhances the capabilities of the Cline coding agent. It provides intelligent code suggestions, reduces hallucinations, and documents the knowledge base by leveraging your project's documentation and detecting the technologies used in your codebase.

12
GitHub Stars
11/22/2025
Last Updated
MCP Server Configuration
1{
2 "name": "coding-assistant",
3 "command": "node",
4 "args": [
5 "/path/to/coding-assistant-server/build/index.js"
6 ],
7 "env": {
8 "OPENAI_API_KEY": "your_openai_api_key_here"
9 }
10}
JSON10 lines
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README Documentation

Coding Assistant Server

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The Coding Assistant Server is an MCP (Model Context Protocol) server that enhances the capabilities of the Cline coding agent. It provides intelligent code suggestions, reduces hallucinations, and documents the knowledge base by leveraging your project's documentation and detecting the technologies used in your codebase.

Features

  • Code Suggestions : Offers context-aware code suggestions based on your code snippets and project documentation.
  • Documentation Integration : Loads and vectorizes documentation files from the docs directory or from provided URLs.
  • Technology Detection : Automatically detects programming languages, frameworks, and libraries used in your project.
  • Automatic Documentation Retrieval : Finds and adds official documentation links for detected technologies to the knowledge base.
  • Project Path Automation : Reads the project path from project_path.txt to seamlessly integrate with your current project in Cline.
  • Multiple Documentation Sources : Accepts multiple documents and links to enrich the knowledge base.

Installation

Installing via Smithery

To install Coding Assistant Server for Cline automatically via Smithery:

npx -y @smithery/cli install coding-assistant-server --client cline

Prerequisites

  • Node.js v14 or higher
  • npm v6 or higher
  • OpenAI API Key

Steps

  1. Clone the Repository
    git clone [repository-url]
    
  2. Navigate to the Project Directory
    cd coding-assistant-server
    
  3. Install Dependencies
    npm install
    
  4. Set Up Environment Variables
    • Create a .env file in the root directory.
    • Add your OpenAI API key:
      OPENAI_API_KEY=your_openai_api_key_here
      
  5. Build the Project
    npm run build
    

Usage

Starting the Server

Start the Coding Assistant MCP server:

node build/index.js

Integrating with Cline

  1. Update MCP Settings
    • Edit your MCP settings configuration file (e.g., cline_mcp_settings.json) to include the coding assistant server:
      {
        "mcpServers": {
          "coding-assistant": {
            "command": "node",
            "args": ["/path/to/coding-assistant-server/build/index.js"],
            "env": {
              "OPENAI_API_KEY": "your_openai_api_key_here"
            }
          }
        }
      }
      
  2. Set the Project Path
    • Create or update the project_path.txt file in the coding-assistant-server directory with the absolute path to your current project:
      /path/to/your/project
      
  3. Restart Cline
    • Restart Cline or reload the MCP settings to connect the coding assistant server.

Using the Tools

get_suggestions Tool

Provides code suggestions based on the provided code context.

Example Usage :

Cline used a tool on the coding-assistant MCP server:

get_suggestions

Get code suggestions based on provided code context

Arguments

{
    "codeContext": {
      "code": "function helloWorld() { console.log('Hello, world!'); }",
      "language": "JavaScript"
    }
  }

Response

{
  "suggestions": [
    {
      "source": "example.txt",
      "content": "# Coding Assistant Documentation\n\nThis is a sample documentation file for the coding assistant server. You can add more documentation files here for the server to use.\n"
    }
  ]
}

Quick Install

Quick Actions

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Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source

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