assess_ai_readiness — OI AI Adoption MCP Tool
assess_ai_readiness
(assess ai readiness) is one of 8 tools on the
OI AI Adoption
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call assess_ai_readiness from your client
- Claude Code OI AI Adoption assess_ai_readiness run in your project directory
- Claude Desktop OI AI Adoption assess_ai_readiness ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor OI AI Adoption assess_ai_readiness ~/.cursor/mcp.json
- VS Code OI AI Adoption assess_ai_readiness .vscode/mcp.json
- Zed OI AI Adoption assess_ai_readiness ~/.config/zed/settings.json
- Windsurf OI AI Adoption assess_ai_readiness ~/.codeium/windsurf/mcp_config.json
- Cline OI AI Adoption assess_ai_readiness ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI OI AI Adoption assess_ai_readiness ~/.gemini/settings.json
- Grok OI AI Adoption assess_ai_readiness .mcp.json (in your project root)
- ChatGPT OI AI Adoption assess_ai_readiness Settings → Connectors → Advanced → Developer mode
- Claude.ai OI AI Adoption assess_ai_readiness Settings → Connectors → Add custom connector
- LangChain OI AI Adoption assess_ai_readiness pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http ai-adoption https://operative-intelligence.com/ai-adoptionOther tools on this server
This list was read from the server itself, by connecting to it and calling tools/list on 15 October 2026. It is what
the server actually exposes, not what its listing claims.
Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.