mcp-server-rememberizer 0.1.3

A Model Context Protocol server for interacting with Rememberizer's document and knowledge management API. This server enables Large Language Models to search, retrieve, and manage documents and integrations through Rememberizer.

MCP Server Rememberizer

A Model Context Protocol server for interacting with Rememberizer's document and knowledge management API. This server enables Large Language Models to search, retrieve, and manage documents and integrations through Rememberizer.

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

Components

Resources

The server provides access to two types of resources: Documents or Slack discussions

Tools

1. rememberizer_search

   • Search for documents by semantic similarity
   • Input:
     • q (string): Up to a 400-word sentence to find semantically similar chunks of knowledge
     • n (integer, optional): Number of similar documents to return (default: 5)
     • from (string, optional): Start date in ISO 8601 format with timezone (e.g., 2023-01-01T00:00:00Z). Use this to filter results from a specific date (default: None)
     • to (string, optional): End date in ISO 8601 format with timezone (e.g., 2024-01-01T00:00:00Z). Use this to filter results until a specific date (default: None)
   • Returns: Search results as text output

2. rememberizer_agentic_search

   • Search for documents by semantic similarity with LLM Agents augmentation
   • Input:
     • query (string): Up to a 400-word sentence to find semantically similar chunks of knowledge. This query can be augmented by our LLM Agents for better results.
     • n_chunks (integer, optional): Number of similar documents to return (default: 5)
     • user_context (string, optional): The additional context for the query. You might need to summarize the conversation up to this point for better context-awared results (default: None)
     • from (string, optional): Start date in ISO 8601 format with timezone (e.g., 2023-01-01T00:00:00Z). Use this to filter results from a specific date (default: None)
     • to (string, optional): End date in ISO 8601 format with timezone (e.g., 2024-01-01T00:00:00Z). Use this to filter results until a specific date (default: None)
   • Returns: Search results as text output

3. rememberizer_list_integrations

   • List available data source integrations
   • Input: None required
   • Returns: List of available integrations

4. rememberizer_account_information

   • Get account information
   • Input: None required
   • Returns: Account information details

5. rememberizer_list_documents

   • Retrieves a paginated list of all documents
   • Input:
     • page (integer, optional): Page number for pagination, starts at 1 (default: 1)
     • page_size (integer, optional): Number of documents per page, range 1-1000 (default: 100)
   • Returns: List of documents

Installation

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

Configuration

Environment Variables

The following environment variables are required:

• REMEMBERIZER_API_TOKEN: Your Rememberizer API token

You can register an API key by creating your own Common Knowledge in Rememberizer.

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

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

Usage with SkyDeck AI Helper App

Add the env REMEMBERIZER_API_TOKEN to mcp-server-rememberizer.

With support from the Rememberizer MCP server, you can now ask the following questions in your Claude Desktop app or SkyDeck AI GenStudio

• What is my Rememberizer account?

• List all documents that I have there.

• Give me a quick summary about "..."

• and so on...

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.