server_info — Aigregator AI Tools MCP Resource
server_info
is one of 1 resource on the
Aigregator AI Tools
MCP server. Connect the server and your client can attach it as context.
by client
How to attach server_info from your client
- Claude Code Aigregator AI Tools Resource/server_info run in your project directory
- Claude Desktop Aigregator AI Tools Resource/server_info ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Aigregator AI Tools Resource/server_info ~/.cursor/mcp.json
- VS Code Aigregator AI Tools Resource/server_info .vscode/mcp.json
- Zed Aigregator AI Tools Resource/server_info ~/.config/zed/settings.json
- Windsurf Aigregator AI Tools Resource/server_info ~/.codeium/windsurf/mcp_config.json
- Cline Aigregator AI Tools Resource/server_info ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Aigregator AI Tools Resource/server_info ~/.gemini/settings.json
- Grok Aigregator AI Tools Resource/server_info .mcp.json (in your project root)
- ChatGPT Aigregator AI Tools Resource/server_info Settings → Connectors → Advanced → Developer mode
- Claude.ai Aigregator AI Tools Resource/server_info Settings → Connectors → Add custom connector
- LangChain Aigregator AI Tools Resource/server_info pip install langchain-mcp-adapters
Aigregator AI Tools also offers 1 prompt — things you invoke, where a resource is context you attach.
Read from the server itself, by connecting to it and calling resources/list on 14 November 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.