SchedulifyX MCP Bridge
AI & Memory
Local
Stages local images and videos into SchedulifyX by uploading files out-of-band and returning media IDs, enabling scheduling without passing bytes through the AI context.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/e94czkfzbw for deploy options, or install from https://github.com/Eh-Mr-SK/schedulifyx-mcp-bridge (see README for MCP config).
2
GitHub
Install from https://github.com/Eh-Mr-SK/schedulifyx-mcp-bridge and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.