llms-full — Botchelor MCP Resource
llms-full
is one of 7 resources on the
Botchelor
MCP server. Connect the server and your client can attach it as context.
by client
How to attach llms-full from your client
- Claude Code Botchelor Resource/llms-full run in your project directory
- Claude Desktop Botchelor Resource/llms-full ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Botchelor Resource/llms-full ~/.cursor/mcp.json
- VS Code Botchelor Resource/llms-full .vscode/mcp.json
- Zed Botchelor Resource/llms-full ~/.config/zed/settings.json
- Windsurf Botchelor Resource/llms-full ~/.codeium/windsurf/mcp_config.json
- Cline Botchelor Resource/llms-full ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Botchelor Resource/llms-full ~/.gemini/settings.json
- Grok Botchelor Resource/llms-full .mcp.json (in your project root)
- ChatGPT Botchelor Resource/llms-full Settings → Connectors → Advanced → Developer mode
- Claude.ai Botchelor Resource/llms-full Settings → Connectors → Add custom connector
- LangChain Botchelor Resource/llms-full pip install langchain-mcp-adapters
Other resources on this server
Botchelor also offers 3 prompts — things you invoke, where a resource is context you attach.
Read from the server itself, by connecting to it and calling resources/list on 5 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.