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.
Why this server?
A Model Context Protocol server implementation that enables AI-powered access to documentation resources, featuring URI-based navigation, template matching, and structured documentation management.
Why this server?
Server that enhances the capabilities of the Cline coding agent. It provides intelligent code suggestions, reduces hallucinations, and documents the knowledge base by leveraging your project's documentation and detecting the technologies used in your codebase.
Why this server?
Obsidian vault connector for Claude Desktop - enables reading and writing Markdown notes using Model Context Protocol (MCP)
Why this server?
This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases. Through this server, AI models can directly access and manipulate Obsidian notes, including reading, creating, updating, and deleting notes, as well as managing folder structures.
Why this server?
Enables querying and retrieving content from Confluence through CQL searches and page content fetching, allowing Claude to seamlessly access information stored in Confluence workspaces.
Why this server?
Obsidian vault connector for Claude Desktop - enables reading and writing Markdown notes using Model Context Protocol (MCP)
Why this server?
A Model Context Protocol server that allows Claude and other LLMs to manage persistent memories across conversations through text file storage, enabling commands to add, search, delete and list memory entries.
Why this server?
Provides knowledge graph functionality for managing entities, relations, and observations in memory with strict validation rules to maintain data consistency.