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Search multilingual codebases semantically with zero-config indexing through MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "fsq-codebase" yet — see the docs or source repo.
Search this codebase for implementations related to the 'user login failure retry mechanism'. Return the most relevant files, functions, and call chain, and briefly explain how they relate.
A list of semantically relevant code locations, key function summaries, and an explanation of the implementation flow.
Find code related to 'database connection timeout configuration' in this project, including default values, where the setting is read, and which modules use it.
An organized view of configuration definitions, read points, and usage locations for faster troubleshooting.
I just inherited this repository. Search for code related to 'payment settlement' and summarize the core modules, main responsibilities, and entry files involved.
A thematic module map that helps quickly understand the code structure and responsibilities.
Search indexed codebases semantically with natural language across MCP clients.
Index codebases into Qdrant for semantic code search and faster AI retrieval.
Search code quickly and accurately while using far fewer tokens.
Build semantic indexes for codebases to find relevant code with natural language queries.
Search and navigate multiple code repositories with natural language understanding.
Enable AI agents and IDEs to search codebases with hybrid retrieval and precise line-level citations.