CodeGraphContext/CodeGraphContext

Health v2 · maintenance only

Adoption not part of the score

4126 stars · 823 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

CodeGraphContext (CGC) is an MCP server and CLI tool that indexes local codebases into a graph database, exposing code structure and relationships as queryable context for AI assistants. It bridges deep code graphs with LLM-based agents via the Model Context Protocol.

Use cases

• give my AI coding assistant context about my codebase structure
• index a repository into a graph database for LLM queries
• let Claude or Cursor navigate call graphs and dependencies
• build a queryable code knowledge graph from local source code
• MCP server for code understanding and navigation
• analyze code relationships and dependencies with AI agents

When to choose

• you use MCP-compatible AI assistants and want them to understand a large codebase
• you need structural code context (call graphs, dependencies) rather than plain text search
• you want a local, self-hosted code indexing tool with a CLI

When to avoid

• you only need simple keyword or semantic code search without graph structure
• you don't run any MCP-compatible AI assistant
• you need hosted multi-repo code intelligence at organizational scale

Facets

service · maturity active

mcp search-engine parser developer-tools cli developer-tools large-language-models parsers python cli cross-platform code-graph graph-database code-indexing mcp-server ai-context static-analysis ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="CodeGraphContext/CodeGraphContext")