Skip to main content
Glama

Coding Assistant Server

smithery badge

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.

Related MCP server: Code Analysis MCP Server

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" } ] }
-
security - not tested
F
license - not found
-
quality - not tested

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AviOfLagos/MCP-coding-assistant'

If you have feedback or need assistance with the MCP directory API, please join our Discord server