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Search code semantically and answer questions about a codebase.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CodeLens MCP" yet — see the docs or source repo.
Semantically search this codebase for implementations related to user login and session validation. List the most relevant files and functions, and briefly explain their call relationships.
Returns relevant source locations, key function descriptions, and a brief structural analysis of the login flow.
Read and analyze the main code structure of the payment module. Explain the core classes, entry points, dependencies, and the business flow this module handles.
Outputs a module overview, responsibilities of key components, and an explanation of the main execution flow.
How does this project handle API request retries and timeouts? Find the relevant code and summarize the current implementation strategy and potential risks.
Provides locations of relevant code snippets and summarizes retry and timeout logic along with possible improvements.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Semantically search and analyze multilingual code with AST-aware insights.
Retrieve GitHub code at symbol level to explore repos with far lower AI token costs.
Analyze code structure and Git history while drastically reducing AI token usage.
Index local repositories for semantic search and structured code understanding.
Search local code with text, symbol, and semantic hybrid retrieval.