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Run local semantic code search with compressed vectors and compatible embeddings APIs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "turbovec-mcp" yet — see the docs or source repo.
Run a semantic search in the current local repository for implementations related to "HTTP request wrappers with retry logic". Return file paths, function names, and why each match is relevant.
A ranked list of relevant files, function locations, and semantic match explanations for reuse.
Search this project for code related to "user permission checks" and "role-based access control", then summarize the main entry points, core modules, and their call relationships.
An overview of key authorization code locations and structure to speed up system understanding.
Perform a semantic search around the "order cancellation" feature. Identify potentially affected services, event handlers, database operations, and test files, then suggest modification priorities.
A feature impact list with priority recommendations to help assess change risk.
Semantically search and analyze multilingual code with AST-aware insights.
Generate embeddings, compute similarity, and enable fast semantic search in apps.
Build vector indexes and run semantic search across project files with auto-updates.
Index codebases semantically and find relevant code using natural language queries.
Search codebases semantically with local embeddings for intelligent code retrieval.
Build semantic indexes for codebases to find relevant code with natural language queries.