Rememberizer MCP Servers

The Model Context Protocol (MCP) is a standardized protocol designed to integrate AI models with various data sources and tools. It supports a client-server architecture facilitating the building of complex workflows and agents with enhanced flexibility and security.

Rememberizer MCP Server

The Rememberizer MCP Server is an MCP server tailored for interacting with Rememberizer's document and knowledge management API. It allows LLMs to efficiently search, retrieve, and manage documents and integrations.

Installation

To install the Rememberizer MCP Server, follow the guide here.

Setup

Step 1: Sign up for a new Rememberizer account at rememberizer.ai.

Step 2: Add your knowledge to the Rememberizer platform by connecting to Gmail, Dropbox, or Google Drive, etc...

Step 3: To selectively share your knowledge, set up a Mementos Filter. This allows you to choose which information is shared and which remains private. (Guide here)

Step 4: Share your knowledge by creating a "Common Knowledge" (Guide here and here)

Step 5: To access your knowledge via APIs, create an API key (Guide here)

Step 6: If you're using Claude Desktop app, add this to your claude_desktop_config.json file.

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

Step 7: If you're using SkyDeck AI Helper app, add the env REMEMBERIZER_API_TOKEN to mcp-server-rememberizer.

Congratulations, you're done!

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 "..."

Rememberizer Vector Store MCP Server

The Rememberizer VectorStore MCP Server facilitates interaction between LLMs and the Rememberizer Vector Store, enhancing document management and retrieval through semantic similarity searches.

Installation

To install the Rememberizer Vector Store MCP Server, follow the guide here.

Setup

Step 1: Sign up for a new Rememberizer account at rememberizer.ai.

Step 2: Create a new Vector Store (Guide here)

Step 3: To manage your Vector Store via APIs, you need to create an API key (Guide here)

Step 4: If you're using Claude Desktop app, add this to your claude_desktop_config.json file.

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

Step 5: If you're using SkyDeck AI Helper app, add the env REMEMBERIZER_VECTOR_STORE_API_KEY to mcp-rememberizer-vectordb.

Congratulations, you're done!

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

• What is my current Rememberizer vector store?

• List all documents that I have there.

• Give me a quick summary about "..."

Conclusion

The Rememberizer MCP Servers demonstrate the powerful capabilities of the Model Context Protocol by providing an efficient, standardized way to connect AI models with comprehensive data management tools. These servers enhance the ability to search, retrieve, and manage documents with precision, utilizing advanced semantic search methods and the augmentation of LLM Agents.