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Search codebases semantically with natural language to find relevant files and logic.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "semantic-search-mcp" yet — see the docs or source repo.
Search the current codebase for implementations related to user login, session validation, and permission checks. List relevant files and code snippets by relevance, and explain what each one does.
A ranked list of relevant auth files, key code snippets, and what each part is responsible for.
Find code locations related to database connection setup, environment variable loading, and configuration initialization in this project, then summarize the configuration flow.
Relevant configuration files plus a summary of the loading and initialization flow.
Search for code related to the 'export reports to CSV' feature, including APIs, service layers, and utility functions, and explain the full call chain.
Core files involved in the feature, module relationships, and an explanation of the call chain.
Index codebases semantically and find relevant code using natural language queries.
Search indexed codebases semantically with natural language across MCP clients.
Let AI coding agents search local code by meaning, not exact keywords.
Semantically search code and return the most relevant chunks with fewer tokens.
Semantically search and analyze multilingual code with AST-aware insights.
Search local code with text, symbol, and semantic hybrid retrieval.