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Local codebase embeddings that save tokens and money. Use brain-cache MCP tools instead of reading files or grepping — they return better results with fewer tokens sent to Claude.
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Basierend auf der SOC-Berufsklassifikation
| name | brain-cache |
| description | Local codebase embeddings that save tokens and money. Use brain-cache MCP tools instead of reading files or grepping — they return better results with fewer tokens sent to Claude. |
| allowed-tools | Bash Read Grep |
brain-cache indexes your codebase locally using Ollama embeddings — no data leaves your machine. When you need to understand code, it retrieves only the relevant parts and fits them to a token budget before sending anything to Claude. This means Claude sees better, more focused context while you spend fewer tokens per query.
Use brain-cache tools before reading files or using Grep/Glob for codebase questions. They return better, token-efficient results.
| Query type | Tool | NOT this |
|---|---|---|
| Locate a function, type, or symbol | search_codebase | build_context |
| Understand how specific code works across files | build_context | file reads |
| Diagnose brain-cache failures | doctor | -- |
| Reindex the project | index_repo | -- |
Call mcp__brain-cache__search_codebase to find functions, types, definitions, or implementations by meaning rather than keyword match.
Use for: "Where is X defined?", "Find the auth middleware", "Which file handles request validation?"
Do NOT use for understanding how code works — use build_context once you have located the symbol.
Call mcp__brain-cache__build_context with a focused question about how specific code works. It retrieves semantically relevant code, deduplicates results, and fits them to a token budget.
Use for: "How does X work?", "What does this function do?", debugging unfamiliar code paths.
Do NOT use for locating symbols — use search_codebase first to find where code lives.
Do NOT use just to get a file overview — ask a specific behavioral question.
Call mcp__brain-cache__index_repo only when the user explicitly asks to reindex, or after major code changes such as a large refactor or pulling a significant upstream diff.
Do not call proactively. Do not call at the start of each session.
Call mcp__brain-cache__doctor when any brain-cache tool fails or returns unexpected results. It checks index health and Ollama connectivity and tells you what to fix.
brain-cache displays cumulative token savings in the Claude Code status bar. After tool calls you will see brain-cache down-arrow{pct}% {n} saved — this confirms cost savings are working. If the status bar shows idle, no tools have been called yet in the current session.
brain-cache installs PreToolUse hooks into ~/.claude/settings.json via brain-cache init. These hooks fire automatically when Claude reaches for one of four tools that brain-cache replaces: Grep, Glob, Read, or Agent. When triggered, each hook injects a one-line reminder into Claude's context suggesting the appropriate brain-cache tool to use instead.
The hooks do not block tool calls. They are advisory — a nudge, not a gate. If brain-cache tools are unavailable (index not built, Ollama down), Claude can still fall back to the standard tools.
To install hooks: run brain-cache init. Running it multiple times is safe — existing hooks are not duplicated.
