MCP Server Rememberizer

An MCP Server to enable global access to Rememberizer

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Overview

MCP Get Community Servers is a server designed for interacting with Rememberizer's document and knowledge management API, enabling Large Language Models to effectively search, retrieve, and manage documents through Rememberizer.

To use the server, install it using the recommended tool uv, configure your environment variables with your Rememberizer API token, and run it with the necessary configurations. Debugging can be performed using the MCP Inspector.

Search for documents by semantic similarity with options for filtering by date. - List available data source integrations. - Retrieve account information. - Paginated retrieval of documents.

Semantic searches to find related documents in large datasets.
Integration with tools like Claude for enhanced AI performance.
Document management and retrieval for collaborative projects.

Add to your AI client

Use these steps to connect MCP Server Rememberizer in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server-rememberizer-skydeckai": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-rememberizer-skydeckai"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "mcp-server-rememberizer-skydeckai": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-rememberizer-skydeckai"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "mcp-server-rememberizer-skydeckai": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-rememberizer-skydeckai"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "mcp-server-rememberizer-skydeckai": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-rememberizer-skydeckai"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "mcp-server-rememberizer-skydeckai": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-rememberizer-skydeckai"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "mcp-server-rememberizer-skydeckai": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-rememberizer-skydeckai"
      ]
    }
  }
}

FAQ

Is there any installation required?

No specific installation is needed when using `uv`. You can run it directly with `uvx`.

Do I need to register for an API key?

Yes! You need to register to get your Rememberizer API token before using the server.

Can I debug the server easily?

Debugging can be done using the MCP Inspector for a better experience.

Research and data