Analyzes codebase structure to identify documentation needs, APIs, and components, then generates a documentation plan for autonomous documentation generation.
Analyzes codebase structure to identify documentation needs, extract APIs and components, then generates a documentation plan for autonomous documentation generation.
Search for APIs by describing your use case in natural language. Find relevant APIs from a large index to integrate functionality into your applications.
Export a codebase to a file in XML, Markdown, or plain text formats. Includes directory structure, file summaries, line numbers, and customizable patterns for inclusion or exclusion.
Provides AI-enhanced code search capabilities by integrating with Sourcegraph, allowing AI assistants to search across multiple repositories and codebases with advanced query syntax.
An MCP server that indexes local Python projects into a SQLite database to enable efficient symbol searching and dependency tracking. It allows users to find function or class definitions, trace module imports, and read file contents through natural language interfaces.
Enables semantic search and discovery of free public APIs from an extensive catalog. Provides embedding-based search over API names and descriptions, plus detailed API information retrieval.