Why this server?
Enhances MCP memory server by implementing PouchDB for robust document storage and enabling the creation and management of a knowledge graph that captures interactions via language models, thus augmenting thinking.
Why this server?
Enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine, allowing Claude to tackle complex multi-step reasoning tasks with greater precision - helps augment thinking.
Why this server?
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context, aiding thinking and recall.
Why this server?
An MCP server that enables AI assistants like Claude to interact with Anki flashcard decks, allowing users to create, manage, and update flashcards through natural language conversations, thus enhancing memory.
Why this server?
An MCP server that extends AI agents' context window by providing tools to store, retrieve, and search memories, allowing agents to maintain history and context across long interactions, which enhances thinking over time.
Why this server?
Provides an interactive Python REPL environment that maintains persistent session state, allowing users to execute Python code and access session history, allowing more comprehensive problem solving and augmenting short term memory
Why this server?
A Model Context Protocol server that enables AI models to interact with SourceSync.ai's knowledge management platform for managing documents, ingesting content from various sources, and performing semantic searches - centralizes knowledge for augmented thinking.
Why this server?
A TypeScript-based MCP server that enables users to manage text notes with features like note creation and summary generation using a Model Context Protocol, good for offloading information to enhance thinking.