Rememberizer Vector Store

Example Use Cases

• 1

  Semantically search a Rememberizer Vector Store to find relevant document chunks for context-aware responses.

• 2

  List, paginate, and browse stored documents to inspect or select knowledge sources before generating answers.

• 3

  Create, rename, or delete documents in the Vector Store to keep the knowledge base up to date.

Description

This MCP server exposes your Rememberizer Vector Store to LLMs via a set of tools for semantic search, document listing, creation, modification, and deletion, plus store information endpoints. It supports agent-augmented semantic searches and pagination for document retrieval. The server is designed for easy integration with clients like Claude Desktop and MseeP AI Helper by supplying an API key as an environment variable.