mcp-comfyui
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| COMFYUI_HOST | No | ComfyUI 服务的 host:port | 127.0.0.1:8188 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| bundled_image_z_image_turbo_jsonD | Comfy image generation workflow image_z_image_turbo.json |
| bundled_qwen_image_2512_with_lora_jsonD | Comfy image generation workflow qwen_image_2512_with_lora.json |
| bundled_sensenova_jsonD | Comfy image generation workflow sensenova.json |
| bundled_utility_birefnet_remove_background_jsonD | Comfy image generation workflow utility_birefnet_remove_background.json |
| bundled_utility_z_image_turbo_2k_upscaler_jsonD | Comfy image generation workflow utility_z_image_turbo_2k_upscaler.json |
| reboot_comfyuiA | 重启 ComfyUI 服务，等待服务恢复后返回「ComfyUI 服务已重启成功」 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
Each tool has a distinct name referencing a specific workflow or action (e.g., 'image_z_image_turbo_json' vs 'qwen_image_2512_with_lora_json'), making them clearly distinguishable despite similar descriptions.
The five 'bundled_*_json' tools follow a consistent pattern, but 'reboot_comfyui' breaks the convention, introducing minor inconsistency.
With 6 tools, the server covers a focused set of workflows plus a utility action, which is well-scoped and avoids bloat.
The tools offer specific workflows but lack generic workflow execution or discovery capabilities, leaving notable gaps for broader image generation tasks.