after-effects-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
after-effects-mcp by Dakkshin | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 358 | ★ 85,748 |
| 30d uses | — | — |
| Score | 50 | 77 |
| Official | — | ✓ |
| Categories | MediaDeveloper ToolsProductivity | Knowledge GraphAI / LLM ToolsProductivity |
| Language | JavaScript | TypeScript |
| Last commit | 2 mo ago | this month |
after-effects-mcp · Summary
Adobe After Effects MCP server enabling AI control of compositions, layers, animations via ExtendScript.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
after-effects-mcp · Use cases
- Automating After Effects project creation and setup for video editors
- Enabling AI assistants to generate motion graphics and visual effects
- Creating automated workflows for repetitive After Effects tasks
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
after-effects-mcp · Install
Installation
- Clone the repository:
git clone https://github.com/Dakkshin/after-effects-mcp.git
cd after-effects-mcp- Install dependencies:
npm install- Build the project:
npm run build- Install the After Effects panel:
npm run install-bridge- Configure Claude Desktop:
{
"mcpServers": {
"AfterEffectsMCP": {
"command": "node",
"args": ["PATH/TO/after-effects-mcp/build/index.js"]
}
}
}- Start the server:
npm start- Open After Effects and load the mcp-bridge-auto.jsx panel (Window > mcp-bridge-auto.jsx)
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"]
}
}
}