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vikunja-mcp vs memory

Side-by-side comparison to help you pick between these two MCP servers.

vikunja-mcp
by democratize-technology
memory
by modelcontextprotocol
Stars★ 69★ 85,748
30d uses
Score4777
Official
Categories
ProductivityDeveloper ToolsOther
Knowledge GraphAI / LLM ToolsProductivity
LanguageTypeScriptTypeScript
Last commit3 mo agothis month

vikunja-mcp · Summary

MCP server for Vikunja task management with comprehensive CRUD operations, authentication, and architectural improvements.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

vikunja-mcp · Use cases

  • AI assistants managing task workflows and priorities in Vikunja
  • Automated project status reporting and updates through AI integration
  • Bulk task import and organization from external systems
  • Automated team task assignment and reassignment based on availability

memory · Use cases

  • Personalizing AI assistant interactions by remembering user preferences, history, and relationships
  • Building context-aware chat applications that maintain conversation history
  • Creating knowledge bases that persist across AI model sessions

vikunja-mcp · Install

Installation

Option 1: Install from NPM (Recommended)

The easiest way to use vikunja-mcp is through npx in your Claude Desktop or other MCP-compatible client configuration:

{
  "vikunja": {
    "command": "npx",
    "args": ["-y", "@democratize-technology/vikunja-mcp"],
    "env": {
      "VIKUNJA_URL": "https://your-vikunja-instance.com/api/v1",
      "VIKUNJA_API_TOKEN": "your-api-token"
    }
  }
}

Option 2: Local Development

For development or customization:

git clone https://github.com/democratize-technology/vikunja-mcp.git
cd vikunja-mcp
npm install
npm run build

Then configure your MCP client with the built JavaScript file.

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

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

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.