Search for:
Why this server?
Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support. This is useful for efficient retrieval from text files.
Why this server?
Enables LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API, which aligns with the user's need for RAG.
Why this server?
Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types. Useful for managing big files and text files in Google Drive and making them available for Claude to use.
Why this server?
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots. Can extract text from web pages and feed them to Claude.
Why this server?
A comprehensive memory management system for Cursor IDE that allows AI assistants to remember, recall, and manage information across conversations through a user-friendly interface. This can help with limitations of Claude Desktop by providing external memory.
Why this server?
A Model Context Protocol server that provides persistent memory capabilities for Claude, offering tiered memory architecture with semantic search, memory consolidation, and integration with the Claude desktop application.
Why this server?
A server that enables seamless integration between local Ollama LLM instances and MCP-compatible applications, providing advanced task decomposition, evaluation, and workflow management capabilities. Useful for processing tasks locally given claude desktop limitations.
Why this server?
Scalable, high-performance knowledge graph memory system with semantic search, temporal awareness, and advanced relation management. Can be used to store and retrieve information from big files.
Why this server?
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Why this server?
A Model Context Protocol server that enables LLMs to fetch and process web content in multiple formats (HTML, JSON, Markdown, text) with automatic format detection. Can handle various text files and information sources.