How does NeuroGTM pricing work?

Every engagement is scoped to your specific stack and goals. We walk through what you need on a 30-minute discovery call and give you a clear proposal — no black-box pricing, no surprises.

Does NeuroGTM work with Salesforce or just HubSpot?

Both. We also integrate with Slack, Gmail, Outlook, Calendly, Gong, Fireflies, Apollo, Clearbit, ZoomInfo, n8n, Make, Zapier, and more. If it has an API, we can connect it.

What happens after NeuroGTM builds the system? Who maintains it?

You own everything — no vendor lock-in. The system runs autonomously. If something in your stack changes or you want to add new workflows, you can bring us back on a Sprint or move to Ongoing Ops for continuous optimization.

How is NeuroGTM different from hiring a RevOps contractor?

A RevOps contractor configures your existing tools. We build AI systems that run on top of them — scoring, routing, enrichment, alerts, and forecasting that execute autonomously. It's the difference between setting up a workflow and building an intelligence layer.

How long does a NeuroGTM implementation take?

Sprints ship in 3–5 days. Full System Builds take 1–3 weeks. No committees, no lengthy SOWs. We go heads-down and build the actual system.

Do I own what NeuroGTM builds?

Yes. Infrastructure, workflows, intelligence layer — all yours. No recurring platform fees, no proprietary lock-in. If you want to part ways, everything keeps running.

Can I start small with NeuroGTM and expand later?

That's what Sprints are for. Pick your biggest bottleneck — lead scoring, deal alerts, CRM enrichment — and we build a production system for that one problem. Most clients come back for more once they see it running.

MCPs for Sales Teams: Connect Claude to Your CRM

MCP - Model Context Protocol - is the thing that turns Claude from a smart chat window into an AI that can actually see your business. It’s a connection layer that gives Claude live, read-write access to your CRM, your Slack workspace, your calendar, and your data warehouse. Instead of pasting in exports and asking hypothetical questions, you ask operational ones - and Claude answers from your actual data.

Most sales teams don’t know MCP exists yet. The ones that do are building an operational advantage that compounds every week.

What is MCP and why does it matter for sales?

MCP is an open protocol that connects AI models to external tools and data sources. Think of it as a universal adapter. Instead of building a custom integration for every tool, MCP provides a standardized way for Claude to read from and write to the systems your team already uses.

For a sales team, that means Claude can pull your HubSpot pipeline in real time. It can read your Gong transcripts. It can check your Google Calendar for upcoming meetings. It can scan your Slack channels for deal-related conversations.

Without MCP, Claude only knows what you paste into it. With MCP, Claude knows what your CRM knows - and it can act on it.

The difference between “summarize this deal” when you paste in notes versus “summarize this deal” when Claude reads the full CRM history, the last three call transcripts, and the email thread - that’s the difference between a toy and an infrastructure layer.

Which MCPs matter most for sales teams?

Not all MCPs are equally useful for a GTM motion. Here are the ones that change daily operations:

HubSpot / Salesforce MCP. The foundation. Claude reads deal stages, contact records, activity timelines, custom properties - everything in your CRM. It can also write back: update fields, create tasks, log activities. This is what makes AI agents possible instead of just AI chat.

Slack MCP. Claude reads and sends messages in channels you specify. This is the delivery layer - risk alerts, pre-call briefs, forecast digests, all delivered where your team already lives. No new dashboard. No new tool to check.

Google Calendar / Calendly MCP. Claude sees upcoming meetings, who’s attending, and when. Combined with CRM data, this is what powers the pre-call brief agent - automatic context delivery 30 minutes before every external meeting.

Gong / call transcription MCP. Claude reads call transcripts and extracts structured data - MEDDIC fields, competitor mentions, objections raised, commitments made. This is the input layer that makes qualification agents work.

Gmail / Outlook MCP. Claude reads email threads for deal context. When a prospect emails something relevant, the AI can update the CRM, flag the deal, or alert the rep - without anyone manually copying information between tools.

The stack works best when all of them are connected. Each MCP adds a data source. Together, they give Claude the full picture of every deal, every contact, and every interaction across your entire sales motion.

What becomes possible when MCPs are connected?

Without MCPs, you can ask Claude: “What should I look for in a stalled deal?” and get a generic answer.

With MCPs, you ask: “Which deals in my pipeline have stalled?” and Claude pulls the list from HubSpot - with deal names, days in stage, last activity, and a risk assessment per deal.

Then you say: “Send each AE a Slack message with their stale deals and a suggested next step.” Claude writes personalized messages, per rep, based on the actual deal context. Sent to Slack in seconds.

That’s not a chatbot interaction. That’s an ops workflow that would have taken a human 45 minutes - and probably wouldn’t have happened at all because nobody had time.

Here’s what teams are building with connected MCPs:

Deal risk agents that scan the full pipeline hourly and alert on decay
Pre-call brief agents that fire 30 minutes before every meeting with full deal context
MEDDIC extraction agents that read call transcripts and populate CRM fields automatically
Forecast digest agents that summarize pipeline changes and deliver to Slack every Monday
Enrichment agents that fill missing contact fields the moment a new lead enters the CRM

Each of these is a specific agent built on top of MCPs. The MCPs provide the eyes and hands. The AI model provides the judgment.

What if you’re running HubSpot with a sales team right now?

You probably ask your reps to update CRM fields after every call. They probably don’t. You probably build HubSpot reports that someone checks once a week. The data in those reports is probably 3-5 days stale by the time anyone looks.

Your team probably has context scattered across HubSpot, Slack, email, and call recordings - and nobody has time to pull it all together before a call, so reps show up underprepared and ask questions that were already answered.

MCPs collapse all of that into a single layer that Claude can access in real time. The information stops being fragmented across five tools. It becomes one connected system that an AI can reason about and act on.

Setting up your first MCP connection - usually HubSpot + Slack - takes less than a day. The second and third are faster. Within a week, you have Claude reading your live pipeline and delivering intelligence where your team works.

For more on the infrastructure layer, see the full MCP stack for B2B sales, what Claude actually is for GTM organizations beyond the chat window, and how autonomous GTM agents use MCPs to execute without being asked.

The sales teams that connect their tools to AI through MCPs aren’t using a chatbot. They’re running an operations layer that sees everything, forgets nothing, and acts faster than any human ops team can.