Extract product and customer context from Slack threads, files, and canvases. Send Slack messages and updates with Spark.
The Slack MCP connector lets Spark search and act in your Slack workspace through conversation. Pull relevant threads, files, and canvases into product work as context, or have Spark send messages and post updates for you. Each user connects their own Slack account.
To push Slack messages into Productboard as customer feedback, see the Slack integration.
Ask Spark to find messages, files, and canvases across public and private channels and DMs, filtered by date, author, or content type. It can also read message history and threads and retrieve file contents, so a discussion your team had weeks ago can inform the spec you're writing now.
Have Spark send messages to channels or DMs, schedule them, reply in threads, and add emoji reactions. It can also create channels, group DMs, and drafts, and look up channels and users by name.
Create and edit Slack canvas documents with markdown formatting from a Spark conversation, or have Spark read an existing canvas. Turn a Spark discussion into a canvas your team can pick up in Slack.
Query live GitHub pull requests, issues, and CI status in plain language from Spark.
Create Linear issues, track engineering work, and sync insights through natural language in Spark.
Query Hex analytics projects and data through natural language in Productboard Spark.