luma-api-mcp vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
luma-api-mcp by lumalabs | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 24 | ★ 85,748 |
| 30d uses | — | — |
| Score | 34 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsMediaDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 13 mo ago | this month |
luma-api-mcp · Summary
An MCP server that integrates Luma AI's image and video generation capabilities through Ray and Photon models.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
luma-api-mcp · Use cases
- Create custom images with specific aspect ratios and styles for presentations
- Generate videos from text prompts with controlled start and end frames
- Produce marketing content combining character references with text prompts
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
luma-api-mcp · Install
Installation
- Install Claude Desktop App or any MCP client
- Get API Key from https://lumalabs.ai/api/keys
- Run
sh setup.sh, here it will ask for the API Key - paste it from step 2
Claude Desktop configuration:
{
"mcpServers": {
"luma-api": {
"command": "python",
"args": ["-m", "luma_api_mcp"]
}
}
}filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.