Contentstack product manager Aniketh Shenoy Kota details the development of an MCP server and agent skills for AI visibility data. The system, integrated into Contentstack Canoe, allows AI assistants to query brand performance data from models like ChatGPT, Gemini, Perplexity, and Claude. The server is built using NestJS and designed to be stateless, with specific tools for discovering brands, assessing reports, and triggering re-measurements. The response design includes fields like `run_status` and `_guidance.notes` to prevent AI agents from misinterpreting or fabricating data. AI
IMPACT Provides insight into building infrastructure for AI agents to interact with proprietary data, potentially improving AI-driven analytics.
RANK_REASON The article describes the technical implementation of a tool for AI data analysis, not a new frontier model release or significant industry event.
- Aldren
- Aniketh Shenoy Kota
- ChatGPT
- Claude
- Claude Code
- Contentstack
- Contentstack Canoe
- Cursor+
- Gemini
- NestJS
- Perplexity
- @rekog/mcp-nest
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