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Tap into product context in Slack conversations

Extract product and customer context from Slack threads, files, and canvases. Send Slack messages and updates with Spark.

Overview

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.

Search across your workspace

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.

Message and act in Slack

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.

Work with Slack canvases

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.

Getting started

  • Admin prerequisite: This connector relies on the same Productboard Slack app that supports Productboard's Slack integration for capturing Slack messages as feedback. If you are not already using this integration, start by configuring the Productboard app in Slack.
  • Workspace members can then enable the connector from any Spark chat by selecting the Integrations & Connectors icon beneath the prompt input field.

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