This repository hosts an MCP server for Rememberizer, enabling Large Language Models to search, retrieve, and manage documents and Slack discussions through Rememberizer's API. It offers semantic search tools with
This repository hosts mcp-server-rememberizer
, a Model Context Protocol (MCP) server designed to interface Large Language Models with Rememberizer's document and knowledge management API. It allows LLMs to search, retrieve, and manage documents and integrations within Rememberizer.
Components: The server provides access to Documents or Slack discussions.
Tools:
rememberizer_search
: Semantic search for documents with optional date filtering.rememberizer_agentic_search
: Semantic search augmented by LLM Agents, incorporating user context.rememberizer_list_integrations
: Lists available data source integrations.rememberizer_account_information
: Retrieves account information.rememberizer_list_documents
: Retrieves a paginated list of all documents.Installation: The server can be installed via Smithery or run directly using uvx
.
Configuration: Requires the REMEMBERIZER_API_TOKEN
environment variable.
Debugging: The MCP Inspector is recommended for debugging.
License: MIT License.
skydeckai/mcp-server-rememberizer
December 10, 2024
March 16, 2025
Python