Tenrung result card — Tenrung MCP Resource
Tenrung result card
is one of 1 resource on the
Tenrung
MCP server. Connect the server and your client can attach it as context.
by client
How to attach Tenrung result card from your client
- Claude Code Tenrung Resource/Tenrung result card run in your project directory
- Claude Desktop Tenrung Resource/Tenrung result card ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Tenrung Resource/Tenrung result card ~/.cursor/mcp.json
- VS Code Tenrung Resource/Tenrung result card .vscode/mcp.json
- Zed Tenrung Resource/Tenrung result card ~/.config/zed/settings.json
- Windsurf Tenrung Resource/Tenrung result card ~/.codeium/windsurf/mcp_config.json
- Cline Tenrung Resource/Tenrung result card ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Tenrung Resource/Tenrung result card ~/.gemini/settings.json
- Grok Tenrung Resource/Tenrung result card .mcp.json (in your project root)
- ChatGPT Tenrung Resource/Tenrung result card Settings → Connectors → Advanced → Developer mode
- Claude.ai Tenrung Resource/Tenrung result card Settings → Connectors → Add custom connector
- LangChain Tenrung Resource/Tenrung result card pip install langchain-mcp-adapters
Read from the server itself, by connecting to it and calling resources/list on 16 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.