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Build semantic codebase indexes so AI can search and navigate projects faster.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "simple-index-mcp" yet — see the docs or source repo.
Use simple-index-mcp to index the current project, then search for code related to "user login, JWT validation, and authorization middleware," and list the most relevant files, functions, and their call relationships.
A list of relevant auth files and functions, with call paths and navigation guidance.
First index this codebase, then use semantic search results to summarize the main modules, entry points, core services, and data flow, and explain each part in a hierarchical structure.
A project structure overview describing key module responsibilities, entry points, and major dependencies.
Use simple-index-mcp to search for implementations related to "order status updates" and "inventory deduction," identify affected services, event handlers, and test files, and assess the downstream impact of changing one status field.
An impact assessment with relevant code locations, plus tests and dependencies to review before changes.
Build semantic indexes for codebases to find relevant code with natural language queries.
Incrementally index repos and documents, then run semantic search over them.
Retrieve and understand code faster with hybrid RAG search across repositories.
Build persistent, semantically searchable memory for codebases via natural language queries.
Index local Git repos for fast code search and snippet retrieval.
Index local repositories for semantic search and structured code understanding.