mediallm-mcp

# MediaLLM MCP Server MCP server that provides AI-powered media processing capabilities for FFmpeg operations through natural language commands. MediaLLM converts natural language requests into precise FFmpeg commands and scans workspaces for media files. **[Full Documentation](https://mediallm.arunbrahma.com/)** ## Installation ```bash # Using pip pip install mediallm-mcp # Using uv (recommended) uv add mediallm-mcp ``` ## Usage ```bash # STDIO (default) mediallm-mcp # Streamable HTTP (default path: /mcp) mediallm-mcp --http --port 3001 # SSE mediallm-mcp --sse --port 3001 # Optional: customize MCP HTTP endpoint path (default: /mcp) mediallm-mcp --http --port 3001 --path /api/mcp ``` ## Running in Docker ```bash # Build image cd packages/mediallm-mcp docker build -t mediallm-mcp . # Run with media directory mounted and HTTP port exposed docker run -it --rm \ -p 8080:8080 \ -v /path/to/media:/workspace \ mediallm-mcp # MCP endpoint (default): http://localhost:8080/mcp ``` ## Accessing from Claude Desktop Add to `claude_desktop_config.json`: ```json { "mcpServers": { "mediallm-mcp": { "command": "uvx", "args": ["mediallm-mcp"], "env": {} } } } ``` **Config file location:** - **macOS:** `~/Library/Application Support/Claude/claude_desktop_config.json` - **Windows:** `%APPDATA%\Claude\claude_desktop_config.json` ## Accessing from Claude Code Add to `.mcp.json` in project root: ```json { "mcpServers": { "mediallm-mcp": { "command": "uvx", "args": ["mediallm-mcp"], "env": {} } } } ``` ## Accessing from Cursor [](https://cursor.com/en/install-mcp?name=mediallm-mcp&config=eyJjb21tYW5kIjogInV2eCIsICJhcmdzIjogWyJtZWRpYWxsbS1tY3AiXX0%3D) Or manually add to `.cursor/mcp.json`: ```json { "mcpServers": { "mediallm-mcp": { "command": "uvx", "args": ["mediallm-mcp"], "env": {} } } } ``` ## Envir…