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Index local TypeScript and React symbols for fast code navigation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "memoria-codigo-local" yet — see the docs or source repo.
Search the in-memory index of the current TypeScript/React project for the symbol `useUserProfile`, and report its definition location, file, and export style.
Returns the symbol’s definition file, location, and whether it is a default or named export.
Using the local index, list which files reference the `DashboardPanel` component and group the results by referencing file.
Produces a reference list for the component to help assess impact.
Inspect the dependency relationships for symbols under `src/features/billing` and summarize which core modules they depend on.
Provides an overview of major dependent modules to clarify code structure.
When debugging a TypeScript or React project, developers can use the in-memory symbol index to find definitions, references, and dependencies without reading the entire repository. This makes targeted analysis easier for AI agents.
When a team wants to inspect indexed code information locally, they can use the included visual dashboard. The description states that the dashboard makes no outbound network calls.
Before changing a component, function, or module, developers can inspect its references and dependencies to quickly estimate what may be affected. This is useful before refactoring or bug fixes.
It is an MCP server that indexes symbols from a TypeScript/React project in memory. This lets agents find definitions, references, and dependencies without reading the whole repository.
The original description explicitly says it includes a local visual dashboard with no outbound network calls. No other network requirement details are provided.
The provided material does not include installation steps, runtime requirements, or key requirements. See the source repository for details.
Build local codebase memory for AI agents with search and architecture inspection.
Index source code locally to query symbols, dependencies, and tree structure.
Index repositories into a persistent graph for fast code search and understanding.
Search local code with text, symbol, and semantic hybrid retrieval.
Index local repositories for semantic search and structured code understanding.
Query a local repo index for deterministic code search and analysis.