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Outreach Joins Anthropic's Model Context Protocol Ecosystem to Connect AI Agents Across Revenue Workflows

Outreach and Claude help revenue teams do more with new MCP connector

Outreach, the leading agentic AI platform for revenue teams, is redefining how revenue teams work by announcing the general availability of its Model Context Protocol (MCP) Server.

By allowing Outreach AI to securely share context with external AI Agents and systems such as Claude, CRMs, and other line of business applications, revenue teams can work more efficiently, make real-time decisions, and take action across revenue workflows.

“As AI moves from answering questions to taking action, it needs live operational context to act on,” said Matt Piccolella, Product Enterprise Apps, Anthropic. “That's what MCP solves. Outreach is one of the first revenue platforms to build on that standard, giving Claude access to real pipeline data, not just general knowledge.”

“We are the first Revenue Orchestration Platform to connect our unique revenue insights to Claude so teams can work more efficiently, act in the tools where they work, and help revenue leaders drive more productivity and revenue across teams,” said Nithya Lakshmanan, Head of Product at Outreach. “MCP is the foundation for the next era of interoperability. By providing access to Outreach insights across agents and systems, Claude users can work side by side with Outreach as an AI teammate to automate tasks, anticipate risk, and guide teams on what to do next.”

The MCP connector may be found on Claude Connectors and the Outreach MCP Marketplace.

Turning Connected Intelligence into Revenue Execution

With the launch of the MCP Server and expanded AI interoperability, Outreach continues to advance its platform in its latest release that includes new AI capabilities designed to facilitate instant answers, clearer deal context, and consistent guidance in every stage of the sales cycle. Building on these advancements, Outreach Knowledge is an enhancement to the intelligence layer by letting teams upload approved content to Outreach, to quickly provide reliable answers.

Additional release highlights include:

  • Deal Agent autonomously updates any opportunity field, using signals from conversations, emails, and activities to keep pipeline data accurate without manual entry.
  • Meeting Prep Agent allows sellers to be better prepared to move deals forward by generating contextual customer briefs ahead of scheduled meetings.
  • Conversation Intelligence updates include enabling sellers to access AI meeting summaries in Slack where they work. In-person recording on the Mobile app automatically provides insights without manual logging. Custom meeting summaries adapt to each role, highlighting what matters to that stakeholder to inform action.
  • Sequential Dialing automates back-to-back outbound calls with a single click, reducing manual steps and keeping reps focused on live conversations.

These are only a few of the features included in our latest release. To learn more about Outreach MCP, agent updates, and new AI features, visit https://www.outreach.io/product-updates.

About Outreach

Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. To learn more, please visit www.outreach.io.

"By providing access to Outreach insights across agents and systems, Claude users can work side by side with Outreach as an AI teammate to automate tasks, anticipate risk, and guide teams on what to do next.”

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