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memory vs anilist-mcp

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

memory
by modelcontextprotocol
anilist-mcp
by yuna0x0
Stars★ 85,748★ 76
30d uses
Score7745
Official
Categories
Knowledge GraphAI / LLM ToolsProductivity
MediaAI / LLM ToolsOther
LanguageTypeScriptTypeScript
Last committhis month6 mo ago

memory · Summary

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

anilist-mcp · Summary

AniList MCP server provides comprehensive anime and manga data access through search, retrieval, and management tools.

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

anilist-mcp · Use cases

  • Assist users in finding anime recommendations and detailed information about specific shows
  • Help organize and manage personal anime/manga watch/read lists
  • Provide comprehensive character and staff information for research or discussion purposes

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"]
    }
  }
}

anilist-mcp · Install

Local Installation (STDIO Transport)

  1. Add this server to your mcp.json / claude_desktop_config.json:
{
  "mcpServers": {
    "anilist": {
      "command": "npx",
      "args": ["-y", "anilist-mcp"],
      "env": {
        "ANILIST_TOKEN": "your_api_token"
      }
    }
  }
}
  1. Restart your MCP client (e.g., Claude Desktop)
  2. Use the tools to interact with AniList
Comparison generated from public README + GitHub signals. Last updated automatically.