Why We Built an MCP Server for AI Founders’ Go to Market

Startup founders, what if you had decades of proven experience zeroing in on product-market fit, building a successful go-to-market motion, and hiring for and scaling your startup to sell to the Fortune 500? We've built Crucible, a system that does exactly that, including insights on building products for and marketing/selling to technical personas that helped build successful companies like Slack, Stripe, and Databricks.

Since 2013, Heavybit has invested in 100+ enterprise infrastructure companies, supporting them from Day 0 to launch and beyond. Bringing technical startups to market has become more fast-paced, but with higher stakes and much more ambiguity, especially as AI continues to change software development almost daily.

Today's AI founders face the same challenges founders always have, plus a whole set of new ones. To help with both, we've decided to bring the expertise of our partnership, founders, and community directly to the prompt with Crucible, Heavybit's MCP server built for founders.

What Is Crucible?

Crucible is a harness-agnostic MCP server loaded with decades of startup operator experience. Crucible condenses the Heavybit Library, a one-of-a-kind resource built over more than a decade and featuring more than 1,400 pieces of content from more than 1,000 contributors (and counting), into an agent-first experience. Once you connect your agents to Crucible, you'll be able to directly access the specific frameworks that have worked for the hundreds of founders, operators, and investors that have shared them over the years: The decisions they'd make differently and the patterns they wished someone had handed them earlier, updated regularly as new insights are added to the Library.

While the Heavybit Library is still open and as valuable as ever, you can now call up specific answers and advice from veteran operators using the Heavybit Skills Library within Crucible as 40+ agentic skills that make those frameworks available inside the AI tools you already use. The skills alone draw on more than 500 practitioners from over 400 companies.

What a Skill Does (and Doesn't Do)

No skill can offer you a one-shot resolution to prickly challenges, but a skill can make your AI agent a sharper conversational foil on topics that would otherwise require careful study and years of pattern matching to navigate well.

Each skill encodes specific frameworks, diagnostic questions, and operational playbooks drawn from practitioners who have done this work at scale. When you bring a real artifact and ask the agent to apply a skill, the agent knows what to probe and what "good" looks like. Bring your pricing page and the pricing-packaging skill walks you through the same tier design frameworks that Guy Podjarny used to build Snyk's freemium engine. Share your incident response runbook and the skill draws on Nora Jones and the resilience engineering community to find what's missing. For a board memo, the executive communication skill applies the Minto Pyramid framework that Michael Dearing teaches to founders at Harrison Metal.

The goal is momentum. Instead of starting from zero on a complex topic, you start with the accumulated knowledge of the Heavybit community already loaded and working. It asks the right questions and surfaces the right frameworks, and it pushes your thinking further than you might get without the insights of hundreds of operators who have successfully tackled the same challenges.

Use the Skills With the Content, Not Instead of It

Skills are not a replacement for the talks, podcasts, and articles they were built from. They're designed to be used alongside them.

Watch Sid Sijbrandij's talk on open source monetization, or listen to Edith Harbaugh describe what it felt like to make her first sales hire. Read Karl Hughes on why AI is reshaping content strategy for technical audiences, or Brian Douglas on documentation as a growth engine. The talks and articles contain the stories and reasoning behind real decisions made under real constraints. That context is what teaches you when and how to apply a framework.

Then, when you're doing the work, when you have your own pricing page, incident runbook, or board memo in front of you, the skill loads the operational framework and helps your agent apply it to your specific situation. The content gives you the context, while the skill gives you the guardrail.

1,400+ Educational Resources, 500+ Practitioners, 40+ Skills

James Lindenbaum brought the same go-to-market questions that kept recurring across Heroku (which he co-founded) and every enterprise infrastructure company he advised to Heavybit from the earliest days. The speaker series, the podcast network, DevGuild conferences, and a decade of written articles and guides on everything from pricing strategy to cloud security became how Heavybit encoded that operational knowledge and shared it with technical founders building enterprise infrastructure.

The knowledge in the library compounds over time. 2014 talks on enterprise sales process, 2017 episodes on open-source monetization, and 2020 guides on incident response aren't dated. The underlying mechanics of how technical companies sell to enterprises, how open-source projects build sustainable businesses, or how engineering teams respond to production failures haven't changed. The context around them has, and skills give you a way to apply proven frameworks to today's specific situation. Newer content layers on top of established foundations, and the skills draw from the full depth of the library because certain lessons shared in a 2015 talk are as operational today as they were then.

Every framework, attribution, and piece of guidance maps back to a specific talk, podcast episode, or article, and to the expert practitioner who contributed it.

Skills Are Now Part of the Heavybit Library

With this launch, skills become a permanent format in the Heavybit Library, alongside talks, podcasts, and articles. As we record new episodes and talks and publish new articles, that knowledge will feed into existing skills and seed new ones.

The library has always worked this way, with each new conversation building on the ones before it. A 2015 talk on pricing informed the pricing-packaging skill, and a 2024 article on AI inference sharpened the AI product operations skill. Future content will continue to refine what's already here and expand into areas the library hasn't covered yet. The skills grow with the community that produces the knowledge behind them.

Try Crucible

Crucible is free with a Heavybit account. Connect it to your agent and start with the messaging-positioning skill, or describe what you're working on and let Crucible pick the skill.