Codegraph is a local codebase indexer and static analysis graph database that serves as a context provider for AI agents. It parses multiple programming languages into a searchable knowledge graph of symbols and dependencies, exposing these relationships to AI tools through the Model Context Protocol. The project distinguishes itself by aggregating relevant code snippets and symbol flows to reduce token usage for large language models. It automates the configuration of server settings and steering instructions across various AI agent platforms and command line editors to enable automatic code
This project is a comprehensive, curated directory of static analysis, linting, and security scanning utilities. It serves as a central resource for developers to discover, compare, and select tools based on specific programming languages, licensing models, and integration requirements. The directory distinguishes itself by providing deep metadata for each listed utility, including community-driven popularity rankings, maintenance status, and deployment methods. By aggregating these tools into a single searchable index, it enables teams to identify solutions for enforcing coding standards, ma
This project is a static code analysis tool and local-first code indexer that builds a persistent dependency graph of functions, classes, and imports. It functions as an AI context optimizer and codebase dependency graph, designed to reduce token usage by providing AI assistants with only the most relevant code fragments and impact analysis for a given change. The system implements a Model Context Protocol server that exposes code intelligence and architectural graph queries to external AI coding tools. It distinguishes itself by computing the change blast radius and risk scores of modificati
This project is a browser automation toolset and Model Context Protocol server that connects large language models to live browser sessions. It provides a web debugging interface and a quality auditor to facilitate the analysis of document object model structures and browser logs. The system implements a bridge that streams diagnostics into AI-powered editors, allowing for the automated identification of web bugs. It features a data sanitization pipeline that removes cookies and sensitive headers to prevent private information leakage during the analysis process. The toolset covers a range o
CodeGraphContext is a code graph indexer and visualization tool that analyzes source code to build graphs of functions, classes, and inheritance relationships. It functions as a Model Context Protocol server, providing a structured codebase index to AI assistants for context retrieval and natural language querying.
shashankss1205/codegraphcontext 的主要功能包括:Code Knowledge Graphs, Code Context Servers, Codebase Dependency Mapping, Model Context Protocol Implementations, Model Context Protocol Servers, Code Symbol Indices, AI Coding Assistants, Interactive Codebase Exploration。
shashankss1205/codegraphcontext 的开源替代品包括: colbymchenry/codegraph — Codegraph is a local codebase indexer and static analysis graph database that serves as a context provider for AI… analysis-tools-dev/static-analysis — This project is a comprehensive, curated directory of static analysis, linting, and security scanning utilities. It… tirth8205/code-review-graph — This project is a static code analysis tool and local-first code indexer that builds a persistent dependency graph of… agentdeskai/browser-tools-mcp — This project is a browser automation toolset and Model Context Protocol server that connects large language models to… jlowin/fastmcp — fastmcp is a Python library and framework for building servers and clients that implement the Model Context Protocol.… jpisnice/shadcn-ui-mcp-server — This project is a Model Context Protocol server designed to bridge the gap between local frontend component libraries…