Slack announces the general availability of the Slack MCP server and Real-Time Search API

Slack announced the general availability of its Real-Time Search (RTS) API and Model Context Protocol (MCP) server—empowering customers and partners to ground their AI agents securely in the context of Slack’s living, real-time conversational data.

Whether you’re a developer using tools such as Claude Code or Cursor, or a marketer conducting research with ChatGPT or Perplexity, agents now have the context they need to help you work faster, eliminate repetitive tasks, and enhance your productivity and creativity, the company said.

“We continue to deepen our integration with Slack through our MCP Apps extension and by including the power of Claude Code. Customers are increasingly seeing the value of this bi-directional integration, and usage is accelerating as a result: faster answers grounded in real team context, improved workflows, and insights delivered right in Slack, where work is happening. This integration unlocks trusted, actionable intelligence that aligns with how your team really operates,” said Scott White, head of product for Claude, Anthropic.

With the RTS API and MCP server, users get secure and flexible access to their Slack data, always. This enables context-aware, user-specific conversations that make AI more relevant, accurate, and powerful. Users can utilize these agents directly within Slack or through a dedicated agent interface, but no matter where the agent is used, it can securely access data with built-in security, permissions, and retrieval.

Slack MCP server streamlines how large language models and AI agents access Slack data, providing conversational context to ground agent responses and actions. It serves as a unified, bidirectional communication layer that respects user permissions, reducing the need for complex, service-specific integrations, the company said.

The RTS API gives apps secure, query-based access to Slack data, so they can retrieve only the information they need, without storing customer data on external servers. When used as context for agents, this approach helps produce responses that are more relevant, accurate, and grounded in real work.

This launch also introduces a new wave of partner agents to the Slack Marketplace, helping teams work more efficiently across various departments and use cases. Whether agents are needed for broad tasks such as coding, writing, and research or for specific departments such as engineering, legal, marketing, and more, users can find the best agents on Slack, said the vendor.

Work with agents to automatically create, manage, and optimize workflows and content right in Slack. By using real-time context and what the business needs, agents make team operations smoother, automate support, and produce customized content in seconds.

With the general launch of Slack’s RTS API and MCP server, “you can now integrate powerful, context-aware AI agents directly into your Slack workspace. These agents enhance your productivity and creativity by using real-time conversational data, making every task—from coding to content creation—more efficient,” Slack said.

For more information about this news, visit https://slack.com.