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Rememberizer MCP Server

Knowledge & MemoryPython
Access and manage your personal and team knowledge through Rememberizer's document management API
Available Tools

retrieve_semantically_similar_internal_knowledge

Send a block of text and retrieve cosine similar matches from your connected Rememberizer personal/team internal knowledge and memory repository

match_thisn_resultsfrom_datetime_ISO8601to_datetime_ISO8601

smart_search_internal_knowledge

Search for documents in Rememberizer in its personal/team internal knowledge and memory repository using a simple query that returns the results of an agentic search

queryuser_contextn_resultsfrom_datetime_ISO8601to_datetime_ISO8601

list_internal_knowledge_systems

List the sources of personal/team internal knowledge. These may include Slack discussions, Gmail, Dropbox documents, Google Drive documents, and uploaded files

rememberizer_account_information

Get information about your Rememberizer.ai personal/team knowledge repository account. This includes account holder name and email address

list_personal_team_knowledge_documents

Retrieves a paginated list of all documents in your personal/team knowledge system

pagepage_size

remember_this

Save a piece of text information in your Rememberizer.ai knowledge system so that it may be recalled in future

namecontent

Rememberizer is a powerful knowledge management tool that enables Large Language Models to search, retrieve, and manage documents and integrations through Rememberizer's API. This MCP server provides seamless access to your personal and team knowledge repositories, including content from Slack discussions, Gmail, Dropbox documents, Google Drive, and uploaded files. With Rememberizer, you can perform semantic searches across your knowledge base, save important information for future recall, and list available knowledge systems and documents. The server acts as a bridge between LLMs and your organization's collective knowledge, making information retrieval more efficient and context-aware.

Overview

Rememberizer MCP Server provides a bridge between Large Language Models and Rememberizer's document and knowledge management API. This integration allows AI assistants to search, retrieve, and manage your personal and team knowledge repositories.

Installation Options

Via mcp-get.com

npx @michaellatman/mcp-get@latest install mcp-server-rememberizer

Via Smithery

npx -y @smithery/cli install mcp-server-rememberizer --client claude

Via SkyDeck AI Helper App

If you have the SkyDeck AI Helper app installed, you can search for "Rememberizer" and install the mcp-server-rememberizer directly through the app interface.

Configuration

API Token

Before using the Rememberizer MCP Server, you need to obtain an API token from Rememberizer. You can register for an API key by creating your own Common Knowledge in Rememberizer at https://docs.rememberizer.ai/developer/registering-and-using-api-keys.

Environment Variables

The server requires the following environment variable:

  • REMEMBERIZER_API_TOKEN: Your Rememberizer API token

Integration with Claude Desktop

To use Rememberizer with Claude Desktop, add the following configuration to your claude_desktop_config.json file:

"mcpServers": {
  "rememberizer": {
      "command": "uvx",
      "args": ["mcp-server-rememberizer"],
      "env": {
        "REMEMBERIZER_API_TOKEN": "your_rememberizer_api_token"
      }
    }
}

Integration with SkyDeck AI Helper App

When using the SkyDeck AI Helper App, you'll be prompted to enter your Rememberizer API token during the installation process.

Usage

Once installed and configured, the Rememberizer MCP Server provides several tools for interacting with your knowledge repository:

  1. Search for semantically similar content in your knowledge base
  2. Perform smart searches with context awareness
  3. List available knowledge systems and documents
  4. Save new information to your knowledge repository
  5. Retrieve account information

These tools enable AI assistants to access your organization's collective knowledge, making information retrieval more efficient and context-aware.

Supported Knowledge Sources

Rememberizer can integrate with various knowledge sources, including:

  • Slack discussions
  • Gmail
  • Dropbox documents
  • Google Drive documents
  • Uploaded files

Limitations

Please note that mcp-server-rememberizer is currently in development, and its functionality may be subject to change.

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About Model Context Protocol

Model Context Protocol (MCP) allows AI models to access external tools and services, extending their capabilities beyond their training data.

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