Influ2, a provider of account-based marketing (ABM) platforms for B2B teams, today announced the launch of its Model Context Protocol (MCP) server, giving AI applications access to what they cannot get anywhere else: contact-level buyer signals to know who to target, and the ABM programs to reach them.
The Influ2 MCP closes the gap between insight and execution, giving revenue teams the ability to do more than analyze ABM performance. Now, teams can safely launch and manage ABM campaigns directly using their preferred AI application, bringing speed and simplicity to their workflow without giving up control.
“With the Influ2 MCP server, we’re making it easier for revenue teams to bring contact-level ABM data directly into the workflows they already use to run their GTM programs,” said Dmitri Lisitski, CEO and co-founder of Influ2. “By combining the power of AI platforms like Claude, ChatGPT, and Agentforce with the contact-level insights and ABM execution only Influ2 can provide, marketers and sellers can quickly understand program performance, uncover the right next step, and take action without leaving the chat.”
Influ2’s MCP covers four core areas of the ABM workflow:
Launch ABM programs using AI. Teams connect Influ2's MCP to their preferred AI application, describe who to target and how to engage them throughout the buying journey, whether through ads, emails, or sales outreach, and their AI application creates and launches the program without any extra manual steps.
Optimize advertising strategies. Teams use AI to analyze contact-level ad performance across every ABM program in a single conversation, instantly identifying top-performing creatives and messages so they can scale what works.
Translate ABM insights into business impact. Teams can answer the questions that matter most to them, not just the ones their dashboards were built for. With AI, they bring together Influ2's contact-level insights with context from across their GTM stack to uncover what's really driving pipeline and revenue.
Show up for every conversation prepared. Teams use AI to quickly understand which prospects to prioritize next, getting a full picture of contact-level buyer signals to make outreach relevant and engaging.
