mcp
Active·★ 17·MIT·Updated 2026-05-12
This MCP server uses pre-computed code graphs to provide sub-second responses for symbol lookups, call-graph traversal, and cross-subsystem analysis. It integrates with AI agents via the Model Context Protocol, offering both default symbol context mode and experimental GraphRAG mode for deeper code exploration. The server supports caching for fast performance and works with popular MCP clients like Claude Code CLI and Cursor.
#ai-agent#architecture#architecture-docs#claude#code-analysis#code-graph#codex#cursor
01
Features
01Pre-computed code graphs for sub-second responses
02Deep symbol context analysis (definition, callers, callees, domain)
03Experimental GraphRAG mode for call-graph traversal
04Caching mechanism for offline and fast runtime use
05Compatible with multiple MCP clients (Claude Code CLI, Cursor, etc.)
02
Compatibility
macOS
macOS
Verified via docs
Linux
Linux
Verified via docs
Windows
Windows
Verified via docs
03
Quick start
1
$ npm install -g @supermodeltools/mcp-server
04
Use cases
↳AI agents understanding unfamiliar codebases instantly
↳Developers debugging by quickly locating symbol definitions and callers
↳Cross-subsystem dependency analysis during refactoring
05
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