Update existing Intercom Help Center articles. Supports partial updates for title, body, description, state, author, and multilingual content. Modify only fields you need.
Update an existing Intercom Help Center collection: modify its name, description, parent collection, or add multilingual translations for different locales.
Enables real-time messaging between Claude Code instances, allowing agents to send, receive, and reply to messages instantly via file-based communication with auto-notification.
Provides access to Intercom conversations and chats through the Model Context Protocol, allowing LLMs to query and analyze Intercom conversations with various filtering options.
Search Intercom conversations using filters for creation time, update time, source type, state, and read/open status to find specific customer interactions.
Detects the GTM tech stack of any company from its public website, returning boolean flags for CRM and marketing automation tools like HubSpot, Salesforce, and Marketo.
Search Intercom Help Center articles by keywords. Filter by state (published, draft) or specific help center. Returns article summaries including id, title, description, URL, and more. Use with get_article for full content.
Send a reply to an Intercom conversation as an admin. Use this to provide a customer-facing response, supporting HTML formatting for rich messages. Requires conversation ID and message body.
Retrieve customer-specific conversation history by email or ID, with optional date ranges and keyword filters. Use for analyzing past interactions with precision in Intercom support tickets.
Permanently remove an Intercom Help Center article using its unique ID. This action is irreversible; the article will be permanently deleted from the system.
Retrieve Intercom conversations within a specific date range using startDate and endDate (DD/MM/YYYY format). Filter results by keyword or exclude content as needed. Ideal for analyzing support ticket history.
Filter and retrieve Intercom support tickets by status (open, pending, or resolved) with optional date range for efficient workload analysis and issue resolution tracking.
Retrieve customer support tickets by email or ID with optional date filters to analyze their interaction history efficiently within the MCP Server for Intercom.