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fcpxml-mcp-server vs memory

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

fcpxml-mcp-server
by DareDev256
memory
by modelcontextprotocol
Stars★ 46★ 85,748
30d uses
Score4777
Official
Categories
MediaProductivityDeveloper Tools
Knowledge GraphAI / LLM ToolsProductivity
LanguagePythonTypeScript
Last commit1 mo agothis month

fcpxml-mcp-server · Summary

AI-powered MCP server for Final Cut Pro XML with 53 tools to analyze, edit, and generate timelines through natural language.

memory · Summary

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

fcpxml-mcp-server · Use cases

  • Batch inserting chapter markers from transcripts into video timelines
  • Automatically detecting and fixing flash frames and gaps in video edits
  • Generating rough cuts from tagged clips based on pacing requirements

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

fcpxml-mcp-server · Install

Installation

  1. Clone & Install:
git clone https://github.com/DareDev256/fcpxml-mcp-server.git
cd fcpxml-mcp-server
pip install -e .
  1. Configure Claude Desktop:

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "fcpxml": {
      "command": "python",
      "args": ["/path/to/fcpxml-mcp-server/server.py"],
      "env": { "FCP_PROJECTS_DIR": "/Users/you/Movies" }
    }
  }
}

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.