hairdora-workspace-v1 — HairDora Salon Scheduling MCP Resource
hairdora-workspace-v1
is one of 6 resources on the
HairDora Salon Scheduling
MCP server. Connect the server and your client can attach it as context.
by client
How to attach hairdora-workspace-v1 from your client
- Claude Code HairDora Salon Scheduling Resource/hairdora-workspace-v1 run in your project directory
- Claude Desktop HairDora Salon Scheduling Resource/hairdora-workspace-v1 ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor HairDora Salon Scheduling Resource/hairdora-workspace-v1 ~/.cursor/mcp.json
- VS Code HairDora Salon Scheduling Resource/hairdora-workspace-v1 .vscode/mcp.json
- Zed HairDora Salon Scheduling Resource/hairdora-workspace-v1 ~/.config/zed/settings.json
- Windsurf HairDora Salon Scheduling Resource/hairdora-workspace-v1 ~/.codeium/windsurf/mcp_config.json
- Cline HairDora Salon Scheduling Resource/hairdora-workspace-v1 ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI HairDora Salon Scheduling Resource/hairdora-workspace-v1 ~/.gemini/settings.json
- Grok HairDora Salon Scheduling Resource/hairdora-workspace-v1 .mcp.json (in your project root)
- ChatGPT HairDora Salon Scheduling Resource/hairdora-workspace-v1 Settings → Connectors → Advanced → Developer mode
- Claude.ai HairDora Salon Scheduling Resource/hairdora-workspace-v1 Settings → Connectors → Add custom connector
- LangChain HairDora Salon Scheduling Resource/hairdora-workspace-v1 pip install langchain-mcp-adapters
Other resources on this server
Read from the server itself, by connecting to it and calling resources/list on 3 October 2026.
A listing does not declare its resources, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each resource's type and contents.