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Search files and code semantically to find relevant content faster.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Vexor" MCP server from askskill: Run: claude mcp add 'io-github-scarletkc-vexor' -- uvx vexor
Developers working in an unfamiliar project can use it to find code related to a feature or logic by meaning instead of exact keywords. This helps them locate implementations and context faster.
Researchers or analysts can search a collection of files for content most related to a topic. It fits situations where they need to quickly surface useful clues from files and code.
Vexor is a semantic search engine for files and code. It helps find relevant content by meaning, not just exact keywords.
Based on the given description, it can search files and code. For specific file types or support details, see the source repository.
The provided material does not include installation steps, runtime requirements, or key requirements. See the source repository for details.
Search codebases semantically with natural language to find relevant files and logic.
Add local semantic code search and persistent memory to AI code editors.
Semantically search code and return the most relevant chunks with fewer tokens.
Search indexed codebases semantically with natural language across MCP clients.
Search code with natural language and get precise ranked file-line matches.
Search code semantically across 40+ languages with context expansion and hybrid retrieval.