| name | Codebase Memory MCP |
| description | High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. |
| version | 1 |
Codebase Memory MCP
Codebase Memory MCP is an ultra-fast code intelligence engine designed specifically for AI agents. Rather than dumping raw files into context, it builds a persistent structural knowledge graph (AST + Hybrid LSP) and provides tools to query it.
Installation & Orchestration
Because this tool ships as a single static binary with zero dependencies, AI agents can effortlessly bootstrap it in any workspace.
Windows (PowerShell)
Invoke-WebRequest -Uri https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.ps1 -OutFile install.ps1
Unblock-File .\install.ps1
.\install.ps1 --skip-config
macOS / Linux
curl -fsSL https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.sh | bash -s -- --skip-config
Note: The --skip-config flag is recommended for headless agent bootstrapping if you intend to launch the server directly via standard MCP stdio pipes rather than relying on global IDE configs.
Headless AI Value-Add
To maximize efficiency during autonomous tasks, leverage this tool to perform structural analysis before reading files:
- Impact Analysis: When tasked with refactoring a core utility function, use the MCP query tool to fetch all downstream callers in a single sub-millisecond request. This avoids massive
grep operations and token bloat.
- Infrastructure Topologies: The tool indexes Dockerfiles and Kubernetes manifests as native graph nodes. You can query cross-references between Kustomize overlays and referenced resources directly.
- Dead Code Elimination: Run targeted graph queries to identify isolated nodes (functions/classes with zero incoming call edges) to safely prune technical debt without relying on imprecise text searches.
