Skip to main content

Find relationships in plain language with folk MCP

Query your CRM in plain language instead of building filters or exporting to a spreadsheet.

Connect folk to your favorite AI tools (Claude, Cursor, ChatGPT…) to read and update your CRM in plain language — no app switching, no manual digging.

What it does

Query your CRM in plain language instead of building filters or exporting to a spreadsheet.

Example prompts

"Show me every VP of Marketing in my Demos Management group."

"Which contacts at Series B companies are tagged 'warm'?"

"Who in my Outbound pipeline is at the Follow-up stage?"

What happens

Your agent translates your request into folk search filters — job title, group, tag, custom field, pipeline stage, company attributes — and returns a clean list with context for each match.

Tools used

  • get_workspace_schema

  • search_people

  • search_companies

Finding relationships that have gone cold

folk stores a native lastInteraction date per contact, so questions like "who hasn't heard from me in 3 weeks" are possible — depending on date-comparison support in search.

Setting it up

Connect folk to your AI client via the folk MCP, then ask your question — be specific about timeframe, group name, and job title.

Did this answer your question?