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Ex-enterprise exec open-sources GTM AI tools built on Anthropic's MCP

Alex Boissonneault has open-sourced MCP, a set of tools designed to bring enterprise-level Go-To-Market (GTM) intelligence to small and medium-sized businesses. Drawing on 15 years of experience in large-scale enterprise projects, Boissonneault developed the Artefact Method to encode analytical methodologies into callable AI tools. He was inspired by Anthropic's Model Context Protocol (MCP) specification, which provides a standard for building structured tools that AI can interact with using natural language. The open-source release aims to establish a new category of GTM tooling focused on methodology rather than just data connectors, with plans for paid tiers and a full SaaS platform. AI

IMPACT Accelerates adoption of structured AI tools for sales and marketing by making enterprise-grade GTM methodology accessible to SMBs.

RANK_REASON This is a product launch of AI-adjacent tooling for businesses, not a core AI model release or research paper.

Read on dev.to — MCP tag →

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  1. dev.to — MCP tag TIER_1 English(EN) · Alex Boissonneault ·

    How I went from $800M revenue projects to building open-source GTM tools, and what I learned

    <h3> Where this started: enterprise at scale </h3> <p>I spent 15 years inside some of the largest transformation projects in Quebec. Seven major enterprise engagements. Over $50M in budgets managed. One assignment that contributed to <strong>$800M in revenue at the Quebecor retai…