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Why this server?
Provides file search capabilities within a specified directory, while respecting .gitignore patterns. Allows exploration of project files.
Why this server?
Provides structured access to markdown documentation from NPM packages, Go Modules, or PyPi packages, exposing these docs as resources.
Why this server?
Enables AI models to access filesystems through privacy-preserving path aliases, with an optimized API interface.
Why this server?
Efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval.
Why this server?
Helps teams create, manage, and access structured project documentation through six core document types.
Why this server?
Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files.
Why this server?
Automates the creation of standardized documentation by extracting information from source files and applying templates.
Why this server?
Allows AI models to access and summarize code files through a Model Context Protocol server, providing structured access to codebase content without manual copying.
Why this server?
Converts code into UML diagrams and flowcharts through static analysis, enabling visualization of code structure and explanation of functionality.
Why this server?
Enables direct interaction with the file system within a specified workspace, allowing users to perform file and directory operations and implement code artifacts.