All functionalities of Treasure AI platform are accessible through Claude Code and other MCP-compatible AI tools via the Model Context Protocol (MCP).
This lets AI assistants operate your Treasure AI environment directly — querying databases, building segments, and running workflows from natural-language prompts.
Not only the platform, our documentation is also accessible via MCP. This enables AI agents to resolve problems quickly and reliably.
- Real-time documentation access: AI assistants receive accurate, contextual help about Treasure AI products and features.
- Platform interaction: AI assistants can query databases, manage segments, run workflows, and more.
- Dynamic API guidance: AI assistants can extract and explain API reference content based on user needs.
Treasure AI connects to popular AI coding assistants through MCP, so you can operate the platform without leaving your editor or terminal. Pick your tool for exact setup steps.
Claude Code
Connect Anthropic's Claude Code CLI with tdx claude or TD Skills plugins.
OpenAI Codex
Connect the OpenAI Codex CLI through the MCP Server (Platform).
VS Code (GitHub Copilot)
Connect VS Code and GitHub Copilot through the MCP Server (Platform).
Cursor
Connect Cursor through the MCP Server (Platform).
For developers and AI tools, Treasure AI provides two MCP servers for different use cases:
| MCP Server | Purpose | What You Can Do |
|---|---|---|
| MCP Server (Docs) | Documentation search | Ask questions about Treasure AI products and features |
| MCP Server (Platform) | Platform interaction | Query databases, manage segments, run workflows, and more |
- How to Read This Documentation - Includes the Ask AI documentation assistant built into this site
- Model Context Protocol (MCP) - Learn more about MCP
- tdx CLI Documentation - Complete tdx reference
- tdx MCP Command - Detailed MCP server documentation
- tdx claude Command - Claude Code integration guide
- TD Skills - Pre-built AI skills for Treasure AI
- Product Documentation - Browse all Treasure AI products