Clari + Salesloft, a prominent force in revenue orchestration, has announced a major expansion of its Model Context Protocol (MCP) Server. This development positions Salesloft as a central revenue intelligence and context layer for enterprise AI agents. By spanning the complete Clari + Salesloft platform, the expansion unifies execution data, conversation intelligence, and forecasting insights across the entire revenue lifecycle, offering AI agents an interconnected revenue overview from initial contact to final forecast through a single governed connection.
The rollout is designed to bring this foundation to leading AI systems. Salesloft is currently integrated natively into Claude’s connector directory without requiring custom setups. This marks the beginning of a phased rollout extending through late summer 2026, which will introduce Salesloft Cadence and activity records, Clari Copilot conversational analytics, and Clari forecasting metrics to custom connectors built for ChatGPT, Microsoft Copilot, and Google Gemini.
Building on the company’s initial MCP Server launch in April 2026, this subsequent phase shifts Clari + Salesloft toward an open revenue data infrastructure for third-party enterprise AI tools. In contrast to siloed systems confined to proprietary application suites, this deployment makes the platform’s underlying revenue datasets accessible across various external AI environments chosen by corporate teams.
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Addressing Data Fragmentation in Enterprise AI
According to an internal study conducted at Clari Labs, 87% of enterprise companies failed to meet their projected revenue targets in the previous year despite heavy investment in AI infrastructure. The study findings show that the reason for this is the existence of data silos and not inadequacies in AI technology per se. Even though go-to-market teams make use of AI tools such as Claude, ChatGPT, Microsoft Copilot, and Gemini, these applications typically lack governed and native access to pipeline movements, sales activities, conversational trends, or accurate forecast trends.
“When we launched in April, our point was simple: the limiting factor in revenue AI is no longer vendor technology. It’s your team’s imagination. Our latest milestone proves we meant it,” said Kylie Fuentes, chief product officer, Clari + Salesloft. “The value of AI in revenue comes down to the quality of the data behind it. Clari + Salesloft sits on the most complete revenue dataset in the market execution, conversations, and forecasting, and no one else can assemble it. And with write-back, AI stops just answering questions and starts doing the work. That’s the difference between an assistant that talks and a partner that acts.”
Sequential Rollout and Capability Schedule
The Salesloft MCP Server is accessible via native listing within Claude’s connector directory. The remainder of the rollout through late summer 2026 includes the following milestones:
- Integration of Salesloft Cadence and prospecting activity data into the shared MCP layer.
- Access to Clari Copilot conversation analytics, encompassing keyword tracking and discussion topics.
- Introduction of a dedicated Salesloft custom connector optimized for ChatGPT.
- Deployment of operational write-back functions, allowing AI tools to execute updates within Salesloft and Clari while maintaining corporate data governance.
- Launches of custom connectors for Microsoft Copilot and Google Gemini.
- Exposure of Clari forecasting analytics and pipeline inspection modules through native configurations in ChatGPT and Claude’s connector directory.
The Infrastructure Behind the Integration
While basic Model Context Protocol implementations can be deployed across various software architectures, the operational utility depends heavily on the volume and depth of the connected data sources. Conventional setups often yield segmented information:
- Standard conversational intelligence tools provide raw call transcripts.
- Isolated forecasting platforms display pipeline figures.
- Basic sales engagement software logs individual outreach activities.
The unified Clari + Salesloft configuration enables AI agents to query a comprehensive revenue ecosystem simultaneously retrieving real-time pipeline changes, sequence velocity, engagement behavior, historical deal stages, and forward-looking forecast signals. This combined dataset relies on the data-layer integration of both sales engagement infrastructure and forecasting platforms, delivered natively through the Predictive Revenue System.
