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qualityThis server enables users to store, manage, and summarize notes using a custom URI scheme, with functionality to add new notes and generate summaries with varying levels of detail.
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Python
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Why this server?
This server enables users to store, manage, and summarize notes using a custom URI scheme, with functionality to add new notes and generate summaries with varying levels of detail, forming a basic knowledge base.
Why this server?
SourceSage efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval, allowing to build a language-agnostic knowledge base.
Why this server?
Provides structured access to markdown documentation from NPM packages, Go Modules, or PyPi packages, enabling informed code generation by exposing these docs as resources or tools. Suitable if you wish to ingest existing documentation.
Why this server?
Automates the creation of standardized documentation by extracting information from source files and applying templates, which could then be used as part of a knowledge base.
Why this server?
Allows AI models to access and manipulate Obsidian notes, including reading, creating, updating, and deleting notes, as well as managing folder structures - can be used to build your own knowledge base.
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. Useful for adding files to a knowledge base.
Why this server?
Enables AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, and metadata filtering. Useful for vectorizing existing documentation and using it as your knowledge base.
Why this server?
Provides a standardized interface for AI models to access, query, and modify content in Notion workspaces, another useful tool for storing a knowledge base.
Why this server?
A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.
Why this server?
Fetches up-to-date, version-specific documentation and code examples from libraries directly into LLM prompts, helping developers get accurate answers without outdated or hallucinated information.