2 posts tagged with "ai-agents"

Most people at your company already have Claude, ChatGPT, Gemini or Cursor installed. These assistants know a lot, but not your organization: where revenue actually lives, which service collects customer analytics, who owns which database, what the schema behind a dashboard looks like.

Marmot exposes all of that context through a single MCP server, so the assistants people already use can pull in your organization's metadata. The questions that used to land in a team's Slack channel get answered directly by the person or agent who had them, which is a huge autonomy boost. This post wires up Claude Desktop, end to end.

If an LLM doesn't have context around your data landscape, it can't help you build new functionality and maintain your existing solutions. It doesn't matter how good the model is.