polyglot-workspace — Poly-Glot AI Workspace MCP Resource

polyglot-workspace is one of 1 resource on the Poly-Glot AI Workspace MCP server. Connect the server and your client can attach it as context.

by client

How to attach polyglot-workspace from your client

• Claude Code Poly-Glot AI Workspace Resource/polyglot-workspace run in your project directory
• Claude Desktop Poly-Glot AI Workspace Resource/polyglot-workspace ~/Library/Application Support/Claude/claude_desktop_config.json
• Cursor Poly-Glot AI Workspace Resource/polyglot-workspace ~/.cursor/mcp.json
• VS Code Poly-Glot AI Workspace Resource/polyglot-workspace .vscode/mcp.json
• Zed Poly-Glot AI Workspace Resource/polyglot-workspace ~/.config/zed/settings.json
• Windsurf Poly-Glot AI Workspace Resource/polyglot-workspace ~/.codeium/windsurf/mcp_config.json
• Cline Poly-Glot AI Workspace Resource/polyglot-workspace ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
• Gemini CLI Poly-Glot AI Workspace Resource/polyglot-workspace ~/.gemini/settings.json
• Grok Poly-Glot AI Workspace Resource/polyglot-workspace .mcp.json (in your project root)
• ChatGPT Poly-Glot AI Workspace Resource/polyglot-workspace Settings → Connectors → Advanced → Developer mode
• Claude.ai Poly-Glot AI Workspace Resource/polyglot-workspace Settings → Connectors → Add custom connector
• LangChain Poly-Glot AI Workspace Resource/polyglot-workspace pip install langchain-mcp-adapters

Read from the server itself, by connecting to it and calling resources/list on 24 September 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.