Retrieve all available Qdrant collections for managing and organizing vector database content in the Better Qdrant MCP Server.

Remove a specific collection from the Qdrant vector database to manage storage and optimize semantic search operations effectively.

Search for memories by content in Qdrant vector databases to retrieve stored information for analysis or personal data access.

Upload and process documents into a Qdrant collection using specified embedding services like OpenAI or Ollama. Define text chunk size and overlap for efficient semantic search integration.

Submit an MCP server URL to the MCP Servers Directory for inclusion in the public registry, enabling discovery and integration.

Generate documentation for MCP servers by providing a server name. This tool helps developers create structured documentation from the MCP Server Boilerplate template.