Why this server?

Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.

Why this server?

Enables AI assistants to interact with Obsidian vaults, providing tools for reading, creating, editing and managing notes and tags.

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

Why this server?

Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.

Why this server?

Enables AI assistants to enhance their responses with relevant documentation through a semantic vector search, offering tools for managing and processing documentation efficiently.

Why this server?

A Model Context Protocol server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.

Why this server?

This is a connector to allow Claude Desktop (or any MCP client) to read and search any directory containing Markdown notes (such as an Obsidian vault).