Index your codebases
Codebases might sometimes hold a lot of files, with various structures, interactions and architectures.
When an agent searches something inside of a codebase,
its primary action is to either read all files it needs when searching (blindly)
or run commands (e.g. grep)s to filter files based on their content.
It’s even more visible when searching code dependencies, what calls this function, what uses this class or struct, etc.
To fix this behavior, codebases can be indexed through graph-based databases instead. By doing this, an agent can use an MCP server, a CLI, or a skill to easily retrieve all interactions regarding a class, a function, a method, etc. with a single request.
And it’s not just language-based codebases that can be indexed: it can also be used for Helm charts, Terraform modules, markdown references, etc. (still depends on each tool’s feature set).
- Upstream: https://github.com/DeusData/codebase-memory-mcp
- Indexing: through the MCP server or the CLI
- Navigation: through the MCP server or the CLI
- Plugin: /interoperability/ai-integration/codebase-memory-mcp
CLI installation:
mise use -g 'github:DeusData/codebase-memory-mcp@latest'
# or
<npm|pnpm|bun> install -g codebase-memory-mcpUsage:
my-agent plugin install codebase-memory-mcp@one-for-all
# or
codebase-memory-mcp install