rustic-ai/codeprism
If you are the rightful owner of codeprism and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
CodePrism is a 100% AI-generated code intelligence server implementing the Model Context Protocol (MCP) for real-time, accurate code analysis.
CodePrism is a cutting-edge, AI-generated code intelligence server designed to provide real-time, accurate analysis of codebases through the Model Context Protocol (MCP). This server is entirely developed by AI, with no human-written code, documentation, or configuration. It offers a production-ready, high-performance solution for AI assistants to gain a structured understanding of codebases using graph-based analysis. CodePrism supports multiple programming languages, including JavaScript, TypeScript, and Python, and is fully compliant with JSON-RPC 2.0. The server is equipped with 23 advanced analysis tools that cover core navigation, search and discovery, analysis, and workflow orchestration. With its graph-first intelligence approach, CodePrism provides efficient queries, real-time updates, and universal abstract syntax tree (AST) representation, making it an invaluable tool for developers seeking to enhance their code understanding and refactoring processes.
Features
- 100% AI-Generated: Entirely developed by AI with no human-written code.
- Multi-Language Support: Analyzes JavaScript, TypeScript, and Python codebases.
- Graph-Based Analysis: Provides structured understanding through graph-first intelligence.
- Real-Time Updates: Offers sub-millisecond incremental parsing for efficient code analysis.
- MCP Compliance: Fully compliant with JSON-RPC 2.0 for seamless integration.
Tools
repository_stats
Get comprehensive repository overview and statistics
explain_symbol
Detailed symbol analysis with context
trace_path
Find execution paths between code elements
find_dependencies
Analyze what a symbol or file depends on
search_symbols
Advanced symbol search with regex and inheritance filtering