Product announcement
Hivekind Launches MCP Support, Bringing GTM Decisioning Into Claude and ChatGPT
San Francisco & Bangalore — Hivekind, the pre-pipeline decision system for complex B2B revenue teams, today announced native support for the Model Context Protocol (MCP), making its GTM context—ICP definitions, priority accounts, and qualified signals—directly accessible inside LLMs such as Claude and ChatGPT.
With this release, Hivekind users can query and access their GTM decisions without leaving the AI surfaces they already use. The integration is available to all customers on Hivekind's latest product release.
What's new
Native MCP server
Hivekind's context—including account fit, CRM context, buying signals, and buyer-group data—is queryable directly from LLMs through MCP, an open, tool-agnostic protocol.
Conversational access
Users can ask natural-language questions such as, "Which of my Grade A accounts showed a signal in the last 30 days?" and receive answers grounded in live account and signal data.
No added infrastructure
Connecting requires no custom API work or engineering setup on the customer's side.
Why it matters
GTM tools come with painful and real integration overheads, with new APIs and new systems to maintain. MCP is an open protocol, which means you connect Hivekind without taking on another custom integration project. It works alongside the systems of record you already run.
Users don't need to log into a separate dashboard to check pre-pipeline health, find warm routes to ICP-fit accounts, or surface coverage through partners. With Hivekind's MCP, revenue teams can create new partner accounts and even record when someone provides an introduction—all inside the interfaces they already use.
“GTM context in a forgotten dashboard is pointless. MCP lets us put that context where the decision is being made—inside the day-to-day conversations.”
Hivekind's MCP server is available today.
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