This MCP server, developed by Fabian, provides seamless access to Intercom conversations and chats for AI-assisted analysis. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a robust interface for querying Intercom data with flexible filtering options. The implementation supports searching conversations by date range, customer ID, and conversation state, providing rich conversation details including contact information and statistics. It's particularly useful for customer support teams, data analysts, and developers looking to incorporate on-demand access to Intercom data into their AI workflows, enabling dynamic analysis of customer interactions and support trends.
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Searches Intercom conversations with optional filters. Parameters: createdAt (optional object with operator and value), updatedAt (optional object with operator and value), sourceType (optional string), state (optional string), open (optional boolean), read (optional boolean).
