TL;DR
The SaaSify MCP Connector brings co-sell, funding and marketplace workflows into AI applications like Claude Desktop. With your CRM connected alongside SaaSify, teams can ask questions about co-sell, funding, pipeline activity, marketplace revenue, subscriptions and cloud-provider data in natural language.
For supported workflows, your team can also initiate actions such as creating co-sell opportunities or AWS funding drafts, while retaining control over what moves forward.
Every marketplace question runs into the same problem: the answer lives somewhere else.
The latest deal context is in your CRM. Co-sell and funding activity sits across marketplace workflows. Revenue is split across cloud providers and reports. Subscription activity sits somewhere else again.
You know the information exists. Finding it, putting the pieces together and working out what needs attention is what takes the time.
The SaaSify MCP Connector closes that gap.
It enables you to connect SaaSify and your CRM to an MCP-compatible AI application like Claude Desktop, so your team can retrieve marketplace information and take actions for certain workflows by asking for it in natural language.
So instead of starting with a system, you start with the question:
“What needs my attention today?”
“Which opportunities should I register for co-sell?”
“Which opportunities could be eligible for AWS funding?”
“Which deals in my pipeline need an update?”
“What was our marketplace revenue last quarter?”
“Which subscriptions are expiring soon?”
The AI application interprets the question, and the connector pulls the answer straight from SaaSify. You lead with the business question, and let the connector work out where the answer lives.
Want to see what this could look like with your marketplace data? [Book a demo of the SaaSify MCP Connector.]
New to MCP? MCP is an open standard that lets AI applications like Claude Desktop connect with external systems and tools.
Cloud marketplace GTM has its own operating rhythm.
Teams are managing co-sell with hyperscalers, cloud-provider funding, marketplace pipeline hygiene, listings, subscriptions and revenue across AWS, Azure and GCP.
But none of those workflows exist in isolation.
The SaaSify MCP Connector is built around exactly these objects and workflows. That is what makes it purpose-built for cloud marketplace GTM, and why the answers it returns fit the workflows your team runs every day.
The connector sits between your AI application and SaaSify.
Add it inside your AI application, alongside your CRM if you use one. You can then start asking marketplace questions in natural language. The AI application interprets the question, the connector retrieves the data from SaaSify, and the answer surfaces inside the same conversation.
The initial release makes information available across:
Co-sell deals
Subscription status
Cloud-provider information
Offer data
Marketplace revenue
For deal context, you can connect your CRM too. HubSpot and Salesforce work with Claude Desktop today. Adding CRM data gives you a fuller view across deal and marketplace activity inside one conversation.
For supported workflows, the interaction does not have to end with an answer. Teams can also initiate actions such as creating a co-sell opportunity or an AWS funding draft from the same conversation.
SaaSify continues to manage your marketplace operations, and the connector is a more direct way to reach the information inside those workflows.
You want a quick read on where your co-sell opportunities stand with AWS, Azure or GCP. Instead of digging through registration records inside SaaSify, you ask your AI application:
“Which opportunities should I register for AWS co-sell?”
“Which co-sell opportunities are currently open?”
“Which active deals have not yet moved into co-sell?”
“Which co-sell opportunities need my attention?”
The connector can use the available deal and marketplace context to surface the relevant opportunities.
Users can then initiate the creation of a co-sell opportunity from the same AI conversation. So the workflow moves naturally from which deal needs action to starting that action.
Marketplace pipelines change constantly. Instead of checking opportunities one by one, ask:
“What needs my attention today?”
“Which opportunities have not been updated recently?”
“Which active deals need marketplace action?”
“What changed in my pipeline this week?”
“Which opportunities should I review before my AWS meeting?”
Because the AI can work with the current deal context alongside SaaSify’s marketplace information, it can help teams focus on the opportunities that need action rather than simply return another list of records.
That makes pipeline hygiene part of the everyday workflow rather than a periodic cleanup exercise.
Funding can be valuable, but only if teams identify the right opportunity at the right point in the deal cycle. The connector makes funding part of the same pipeline conversation.
Ask:
“Which opportunities could be eligible for funding?”
“Show me potential AWS funding opportunities.”
“Which active deals should I review for funding?”
“Are there funding opportunities across my current pipeline?”
Instead of treating funding as a separate exercise, teams can look for it while working the opportunities already in front of them. Users can also ask the connector to create funding. The underlying workflow can create the corresponding funding draft for the user to review and progress.
Marketplace numbers usually sit across several reports. When you are prepping for a QBR, a leadership review or a partnership catch-up, that fragmentation is what slows you down.
The connector puts those numbers one question away:
"What was our marketplace revenue last quarter?"
"Show me revenue by cloud provider."
“Which subscriptions are expiring soon?”
"What are our partnership manager revenue numbers for the quarter?"
Detailed reconciliation still lives inside your finance workflow. For day-to-day decision-making on marketplace performance, this is a faster route to the answer.
A marketplace meeting rarely needs information from just one place. You may have an AWS meeting about Company X tomorrow. The CRM tells you where the deal stands. SaaSify tells you what is happening across its marketplace motion.
Instead of putting that context together manually, ask:
“I am meeting the AWS team about Company X tomorrow. What should I know?”
“What co-sell activity is open on this account?”
“Could any of these opportunities be eligible for funding?”
“What marketplace activity has happened across these deals?”
You walk into the meeting with a fuller picture of the account, in a fraction of the usual prep time.
We are onboarding customers to the SaaSify MCP Connector.
If your team manages co-sell, funding, pipeline, subscriptions, revenue or other cloud marketplace workflows, the connector gives you a new way to work across your CRM and marketplace context through AI.
The SaaSify MCP Connector connects SaaSify with MCP-compatible AI applications like Claude Desktop.
With CRM context available alongside SaaSify, teams can ask questions across their deal pipeline and marketplace workflows in natural language.
You can ask questions such as:
“What needs my attention today?”
“Which opportunities should I register for co-sell?”
“Which deals could qualify for AWS funding?”
“What was our marketplace revenue last month?”
“Which subscriptions are expiring soon?”
For supported workflows, users can also initiate actions such as creating a co-sell opportunity or an AWS funding draft.
Yes. The connector supports workflows where your CRM is connected alongside SaaSify. HubSpot and Salesforce work with Claude Desktop today, giving you deal context and marketplace context in one conversation.
Sales, marketplace, alliances, partnerships and revenue teams working in cloud marketplace GTM. Anyone who spends their week answering questions about offers, subscriptions, revenue or marketplace activity, and does not want to keep navigating through multiple records and reports to find them.
[Book a demo] to see how the SaaSify MCP Connector can work across your cloud marketplace GTM.
See how SaaSify pairs an agentic Cloud GTM platform with hyperscaler experts to multiply your partnership revenue.
