$ loading_
Lets AI agents search codebases, locate files, and read files fast.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "space-ngrams" yet — see the docs or source repo.
Search this codebase for the definition of `createClient` and read the key content from the most relevant file.
Returns matching file paths, relevant code locations, and the core implementation content read from the file.
Find files related to logging configuration in this project and read the configuration entries inside them.
Lists relevant files and extracts the main configuration content for quick investigation.
Search the codebase for occurrences of `permission denied`, read the context, and identify the likely error source.
Provides hit locations, context snippets, and the files or logic likely causing the error.
When taking over a new project, developers can have AI search key modules, locate entry files, and read core code to shorten ramp-up time.
When errors or unexpected behavior appear, users can search keywords, locate related files, and read surrounding context to narrow down the issue quickly.
AI agents that need to search and read large codebases can use this tool to access files and code content more efficiently.
It is an MCP server that lets AI agents search code, find files, and read file contents in a codebase. The description says it uses ripgrep for fast retrieval.
It is suitable for code search, file discovery, and reading relevant source context. It is especially useful when you need to find information quickly inside a codebase.
The provided information does not include installation steps or prerequisites. Since the description mentions ripgrep, please see the source repository for setup details.
Search and navigate multiple code repositories with natural language understanding.
Search repositories semantically and turn codebases into AI-ready context and knowledge.
Gives AI coding agents a structural map of your repository fast.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Quickly search large codebases, find symbols, list files, and read code.
Enable agents to search synced code repositories with fast AI-powered retrieval.