validate_ai_output — Verificate MCP MCP Tool
validate_ai_output
(validate ai output) is one of 5 tools on the
Verificate MCP
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call validate_ai_output from your client
- Claude Code Verificate MCP validate_ai_output run in your project directory
- Claude Desktop Verificate MCP validate_ai_output ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Verificate MCP validate_ai_output ~/.cursor/mcp.json
- VS Code Verificate MCP validate_ai_output .vscode/mcp.json
- Zed Verificate MCP validate_ai_output ~/.config/zed/settings.json
- Windsurf Verificate MCP validate_ai_output ~/.codeium/windsurf/mcp_config.json
- Cline Verificate MCP validate_ai_output ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Verificate MCP validate_ai_output ~/.gemini/settings.json
- Grok Verificate MCP validate_ai_output .mcp.json (in your project root)
- ChatGPT Verificate MCP validate_ai_output Settings → Connectors → Advanced → Developer mode
- Claude.ai Verificate MCP validate_ai_output Settings → Connectors → Add custom connector
- LangChain Verificate MCP validate_ai_output pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http mcp https://mcp.verificate.ai/mcpOther tools on this server
This list was read from the server itself, by connecting to it and calling tools/list on 24 September 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.