MCPFast / Tools / Graphrag: Knowledge graph for AI coding agents
Open-source tool indexing code (TypeScript, NestJS, React) into Neo4j for querying architecture via Cypher.
View on GitHub→Graphrag is an open-source tool designed to enhance AI coding agents by providing them with a structured knowledge base of your codebase. It achieves this by indexing your code into a Neo4j graph database, allowing for complex architectural queries using Cypher. This enables AI agents to understand relationships, dependencies, and patterns within your projects, leading to more informed and accurate code generation, refactoring, and analysis.
Graphrag processes your codebase, specifically targeting TypeScript, NestJS, and React projects. It extracts relevant information about classes, functions, interfaces, dependencies, and other code constructs. This extracted data is then transformed and loaded into a Neo4j graph database. Developers can then leverage this graph to ask sophisticated questions about their code architecture, such as identifying all components that depend on a specific service or tracing the flow of data through a particular module.
Graphrag is an essential tool for AI developers and software architects working with large or complex codebases. It is particularly beneficial for those building or utilizing AI coding agents that require a deep understanding of project structure and dependencies. If you are looking to improve the context awareness of your AI agents for tasks like code generation, refactoring, documentation, or security analysis, Graphrag provides the foundational knowledge graph to achieve this. It empowers AI to move beyond simple text-based understanding to a more semantic and architectural comprehension of code.