"A huge amount of knowledge, information, and context is hidden in Slack conversations. This can now be used by AI. Slack has been critically examined by many organizations and developers in recent years. It was the preferred platform for many developers, but was then acquired by Salesforce. After that, the focus was heavily on integrating Slack into the Salesforce ecosystem."
"To date, this has only been partially successful, but with the rapid rise of AI and the speed at which organizations need to adapt, Salesforce now seems to have found the right route and strategy for Slack. The focus is no longer on full integration with Salesforce solutions. Salesforce sees Slack as the gateway to all kinds of AI applications and agents."
"The introduction of the real-time search API and the MCP server allows developers to read data from Slack conversations. For example, a project channel discussing what an app should look like and what functionality it should include can be very valuable. This is especially true if employees have discussed how this should be approached, what is compliant and what is not. The knowledge and experience hidden in Slack messages is extremely valuable."
Slack will provide a real-time search API and a Model Context Protocol (MCP) server that allow third parties and AI agents to read and query Slack conversation data. The capabilities enable searching conversation history and connecting AI agents to Slack databases to retrieve contextual knowledge, compliance decisions, and project design discussions. The approach shifts focus away from full Salesforce ecosystem integration toward positioning Slack as an open gateway for AI applications and agents. The hidden knowledge and context in messages can boost employee productivity and inform AI-driven workflows. Open platform integration supports varied third-party AI uses while preserving Slack as a central collaboration source.
Read at Techzine Global
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