这是一个基于Model Context Protocol (MCP)的ComfyUI图像生成服务，通过API调用本地ComfyUI实例生成图片。
If you want an AI assistant working directly with Hh MCP Comfyui, the hh mcp comfyui mcp server is the bridge. 这是一个基于Model Context Protocol (MCP)的ComfyUI图像生成服务，通过API调用本地ComfyUI实例生成图片。.
这是一个基于Model Context Protocol (MCP)的ComfyUI图像生成服务，通过API调用本地ComfyUI实例生成图片。
The server is distributed via npm as @modelcontextprotocol/inspector, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
The server reads 2 environment variables: COMFYUI_API_BASE, COMFYUI_WORKFLOWS_DIR. Keep credentials in your client's env block or a secrets manager rather than committing them.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Hh MCP Comfyui sits in that group. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
{
"mcpServers": {
"hh-mcp-comfyui": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/inspector"],
"env": {
"COMFYUI_API_BASE": "your-value",
"COMFYUI_WORKFLOWS_DIR": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| COMFYUI_API_BASE | Configuration value read at startup. | Optional |
| COMFYUI_WORKFLOWS_DIR | Filesystem location the server is allowed to use. | Optional |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.