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Welcome to CodePrism

CodePrism is a production-ready, high-performance code intelligence server implementing the Model Context Protocol (MCP). It provides AI assistants with structured understanding of codebases through graph-based analysis, enabling real-time, accurate code intelligence across multiple programming languages.

🤖 AI-Driven Development​

CodePrism represents a groundbreaking AI-only development experiment where every component—code, documentation, tests, and configurations—is generated by AI agents. This approach demonstrates the potential of AI-driven software development while maintaining production-quality standards.

AI-Only Development

We do not accept human-written code contributions to preserve the integrity of this experiment. However, documentation improvements and community feedback are welcome!

🌟 What Makes CodePrism Unique​

🔗 Graph-Based Intelligence​

Unlike traditional code analysis tools that work with flat syntax trees, CodePrism builds a comprehensive graph representation of your codebase, capturing relationships between symbols, dependencies, and semantic concepts.

🔌 MCP Integration​

As a Model Context Protocol server, CodePrism provides standardized interfaces for AI assistants to understand and interact with codebases, enabling sophisticated code intelligence workflows.

⚡ Production-Ready Performance​

Built for enterprise use with comprehensive testing, real-time updates, and multi-language support.

🚀 Getting Started​

Ready to explore CodePrism? Choose your path:

🔧 For Developers Using CodePrism​

  1. Installation Guide - Set up CodePrism in your environment
  2. MCP Server Overview - Understand the MCP integration
  3. API Reference - Explore available tools and capabilities

🏗️ For Understanding the Architecture​

  1. Architecture Overview - Technical design and components
  2. Current Status - Feature status and capabilities
  3. Roadmap - Future development plans

🔬 For Parser Development​

  1. Parser Overview - Multi-language parser framework
  2. Development Tools - Debugging and validation toolkit
  3. Implementation Guide - Technical parser specifications

🧪 For Testing MCP Servers​

  1. Test Harness Overview - Mandrel MCP Test Harness
  2. Quick Start - Get testing in 5 minutes
  3. Production Deployment - Enterprise testing setup

👥 For Contributing​

  1. Contributing Guide - How to contribute to the project
  2. Developer Guide - Development environment setup
  3. Branch Strategy - Git workflow and branching

💡 Use Cases​

For Developers​

  • Code Navigation - Understand large, unfamiliar codebases quickly
  • Dependency Analysis - Trace relationships and impact of changes
  • Code Quality - Identify complexity, duplicates, and patterns
  • Security Review - Find potential vulnerabilities and security issues

For AI Assistants​

  • Enhanced Understanding - Provide structured code knowledge to AI models
  • Accurate Responses - Ground AI responses in actual code analysis
  • Context Awareness - Understand relationships between code elements
  • Intelligent Suggestions - Base recommendations on comprehensive analysis

For Teams​

  • Architecture Review - Understand system design and dependencies
  • Code Quality Assessment - Measure complexity and maintainability
  • Performance Optimization - Identify bottlenecks and inefficiencies
  • Onboarding - Help new team members understand codebase structure

📚 Quick Navigation​

SectionPurposeStart Here
🔧 CodePrism MCP ServerUse CodePrism with AI assistantsInstallation
🧪 Mandrel Test HarnessTest MCP server implementationsQuick Start
🔬 Parser FrameworkExtend language supportOverview
👥 DevelopmentContribute to the projectContributing
💝 Sponsors & SupportSupport the projectBecome a Sponsor

Ready to dive in? Start with the Installation Guide to set up CodePrism, or explore the Architecture Overview to understand how it works.