codealive-mcp

🥈Silver

The most accurate and comprehensive Context Engine as a service, optimized for large codebases, powered by advanced GraphRAG and accessible via MCP. It enriches the context for AI agents like Codex, Claude Code, Cursor, etc., making them 35% more efficient and up to 84% faster.

7480Updated Today

Intermediate30min to implementautomation

Saves ~480 min per use

Quick InstallView Source

git clone https://github.com/CodeAlive-AI/codealive-mcp.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/CodeAlive-AI/codealive-mcp

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Analyze the following codebase for [COMPANY] in the [INDUSTRY] sector. Provide a detailed context report including architecture, dependencies, and potential optimization opportunities. Use the [DATA] provided to enrich the analysis.

Example Output

# Codebase Context Analysis for TechInnovate Solutions

## Architecture Overview
- **Frontend**: React.js with TypeScript
- **Backend**: Node.js with Express
- **Database**: PostgreSQL
- **Microservices**: 12 services, each handling specific business logic

## Key Dependencies
- **AWS SDK**: For cloud services integration
- **Redis**: For caching and session management
- **Docker**: For containerization

## Potential Optimization Opportunities
- **Database Indexing**: Several tables lack proper indexing, leading to slow queries.
- **Microservices Communication**: Current REST API calls could be optimized with gRPC.
- **Code Duplication**: Identified in utility functions across multiple services.

## Recommendations
1. Implement database indexing for frequently queried tables.
2. Evaluate gRPC for inter-service communication.
3. Consolidate duplicate utility functions into a shared library.