What features does Rememberizer AI MCP server provide?

Q: What features does Rememberizer AI MCP server provide?

retrieve_semantically_similar_internal_knowledge: Returns cosine-similar chunks from Rememberizer's internal knowledge for a given text block, with optional n_results and date filtering (from_datetime_ISO8601, to_datetime_ISO8601).. smart_search_internal_knowledge: Performs an agentic search across Rememberizer's internal knowledge sources (e.g., Slack, Gmail, Dropbox, Google Drive, uploaded files) using a query, with optional user_context, n_results, and date filters.. list_internal_knowledge_systems: Lists available internal knowledge integrations/sources.. rememberizer_account_information: Returns details about the Rememberizer personal/team knowledge repository account (e.g., account holder name and email address).. list_personal_team_knowledge_documents: Retrieves a paginated list of documents from the personal/team knowledge system; supports page and page_size for pagination.. remember_this: Saves a piece of text information in Rememberizer so it can be recalled later by the search/retrieve tools.

Rememberizer AI MCP Server 2025: Features & Setup Guide

Overview

Rememberizer MCP Server is a Model Context Protocol server designed to interface with Rememberizer's document and knowledge management API. It enables Large Language Models to search, retrieve, and manage documents and integrations stored in Rememberizer, including documents and Slack discussions from the internal knowledge base. The server exposes a set of tools that support semantic search and retrieval: retrieve_semantically_similar_internal_knowledge returns cosine-similar chunks from the internal memory; smart_search_internal_knowledge performs agentic searches across sources such as Slack discussions, Gmail, Dropbox documents, Google Drive documents, and uploaded files; list_internal_knowledge_systems lists available integrations; rememberizer_account_information returns account details; list_personal_team_knowledge_documents provides a paginated list of documents; remember_this saves new information for future recall. Inputs include text blocks, queries, optional date filters (ISO8601), and pagination. The server requires REMEMBERIZER_API_TOKEN and can be installed via uvx mcp-server-rememberizer or via the MseeP AI Helper App. It is currently in development. It supports usage from Claude Desktop and SkyDeck AI GenStudio for common queries like 'What is my Rememberizer account?' or 'List all documents I have there.'

Features

retrieve_semantically_similar_internal_knowledge

Returns cosine-similar chunks from Rememberizer's internal knowledge for a given text block, with optional n_results and date filtering (from_datetime_ISO8601, to_datetime_ISO8601).

smart_search_internal_knowledge

Performs an agentic search across Rememberizer's internal knowledge sources (e.g., Slack, Gmail, Dropbox, Google Drive, uploaded files) using a query, with optional user_context, n_results, and date filters.

list_internal_knowledge_systems

Lists available internal knowledge integrations/sources.

rememberizer_account_information

Returns details about the Rememberizer personal/team knowledge repository account (e.g., account holder name and email address).

list_personal_team_knowledge_documents

Retrieves a paginated list of documents from the personal/team knowledge system; supports page and page_size for pagination.

remember_this

Saves a piece of text information in Rememberizer so it can be recalled later by the search/retrieve tools.

Who Is This For?

Developers:Integrate into Claude Desktop or SkyDeck AI GenStudio to enable Rememberizer-based document search and retrieval.

Overview

Features

retrieve_semantically_similar_internal_knowledge

Returns cosine-similar chunks from Rememberizer's internal knowledge for a given text block, with optional n_results and date filtering (from_datetime_ISO8601, to_datetime_ISO8601).