{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/2473c37415b54df185bc543d0f69b073\" frameborder=\"0\" width=\"1108\" height=\"831\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":831,"width":1108,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":831,"thumbnail_width":1108,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/2473c37415b54df185bc543d0f69b073-9f019339cb1a12e0.gif","duration":242.346,"title":"15. MCP Integration","description":"This Loom introduces CoCareer’s MCP feature to connect CoCareer to any AI tool for asking data questions and automating workflows. In the CoCareer org settings under the last tab labeled MCP, users can add a custom connector by entering a server URL, then query examples like getting a report of active clients, including eight active clients and none archived, and asking for the three clients with the lowest execution. The Loom also shows how, with Cloud Pro, scheduled tasks can check daily execution at 9:30am and Slack clients if execution drops by 25 percent or more versus last week. It finishes with ideas for using Cloud or ChatGPT to generate interview preparation reports sent by email."}