Upzelo MCP. Stop cancellations and win back revenue with AI.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Upzelo MCP Server stops subscription churn by managing customer retention flows. Use your AI agent to intercept cancellations and launch personalized win-back campaigns at the exact moment a user tries to leave.
You can list customers, check active subscriptions, and manually trigger complex retention sequences without logging into the Upzelo console.
What your AI agents can do
Save customer
Creates a new customer record or modifies an existing one for better segmentation.
Get customer
Retrieves all details for a specific customer ID in Upzelo.
Get flow session
Checks the current status and outcomes of an active, running retention sequence.
You get detailed information on a single customer profile, including their current status and associated data.
The agent starts a pre-defined retention flow for any customer who is showing signs of canceling.
You can pull subscription details or programmatically update statuses and plan attributes.
The system checks the current operational status of a retention sequence, telling you if it succeeded or failed.
You pull comprehensive lists of all active customers and all tracked subscriptions for bulk review.
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Supported MCP Clients
OAuth 2.0 CompatibleWaiting for input…
Upzelo MCP Server: 10 Tools for Customer Retention
Use these ten tools to read customer details, manage billing subscriptions, trigger retention flows, and update records programmatically through your AI client.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Upzelo on Vinkius019dd17esave customer
Creates a new customer record or modifies an existing one for better segmentation.
019dd17eget customer
Retrieves all details for a specific customer ID in Upzelo.
019dd17eget flow session
Checks the current status and outcomes of an active, running retention sequence.
019dd17eget flow
Gets the setup and structure details for a single defined retention flow.
019dd17eget subscription
Pulls all billing details for a specific subscription ID.
019dd17elist customers
Returns a list of every customer profile tracked within Upzelo.
019dd17elist flows
Provides an overview and names of all available retention flow templates.
019dd17elist subscriptions
Retrieves a list of every subscription managed by the Upzelo account.
019dd17estart flow
Initiates the automated, multi-step retention sequence for a specified customer.
019dd17eupdate subscription
Changes specific attributes of a subscription record, such as plan or status.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Upzelo, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Upzelo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Tracking churn and updating records is usually a mess of clicks and tabs.
Today, managing a customer lifecycle means switching between your CRM, the billing portal, and the marketing automation tool. If a client calls saying they're leaving, you have to manually look up their profile in one place, check their subscription status in another, and then copy-paste an ID into a third system just to start a campaign.
With this MCP server, your agent handles that entire sequence. You simply ask, 'What should we do for John Doe?' The agent pulls the data using `get_customer`, verifies the billing details with `get_subscription`, and executes the necessary response by calling `start_flow`. It's all one prompt.
Upzelo MCP Server: Launching Flows
Before, initiating a retention campaign meant navigating to a specific workflow area in the Upzelo interface. You'd find the template, select the customer ID, and click 'Activate.' This is slow, error-prone, and requires you to have the right credentials open.
Now, your agent handles that entire process with one command. By calling `start_flow`, you bypass the UI completely. The server manages the state transition—it knows which flow template to use, what data to pass, and it gives you a session ID so you can track its success.
What you can do with this MCP connector
Upzelo MCP Server - Manage Churn & Retention Flows
Don't let customers slip through your fingers again. You connect this server to your AI client, and your agent handles the whole customer lifecycle conversationally. Instead of logging into the Upzelo console—and having to manually click through five different screens just to check on one user—you tell your agent what you need, and it gets the job done immediately.
This server lets you intercept cancellations and launch those personalized win-back campaigns the second a high-risk customer even thinks about leaving. It's pure power, built right into your chat window.
Managing Your Customer Base
You can get detailed info on any single user using get_customer by feeding it just their ID; you'll instantly know their current status and all the associated data points Upzelo keeps on file. Need to see who's in your pool? You run list_customers, and that pulls a full roster of every customer profile tracked in Upzelo.
If you find a record with bad segmentation info, you can use save_customer to either create an entirely new user record or just update the details on an existing one—it's how you keep your targeting sharp.
Tracking Subscriptions and Billing Details
Managing billing shouldn't be guesswork. You pull all the specific financial data for a single account using get_subscription when you need to check rates or plan structures. Want to audit everything? Run list_subscriptions, and you get a complete list of every subscription managed within your Upzelo account. If something changes—say, a customer upgrades their tier mid-cycle—you can use update_subscription to programmatically change specific attributes like the plan name or status directly through the agent.
You'll never have to manually update a billing record again.
Running Retention Campaigns and Monitoring Status
The main goal here is keeping people subscribed, so retention flows are your bread and butter. First, you check what strategies you even have available by running list_flows, which gives you the names of every existing retention template. You can then pull the specific blueprint for any single flow using get_flow to see exactly how that sequence is built out.
When a customer shows signs of canceling, you tell your agent to start the process with start_flow; this kicks off the automated, multi-step win-back sequence immediately for that user.
Don't assume it worked just because you hit 'send.' You run into potential roadblocks, and you need proof. To check if a retention sequence is actually running right now or what its final outcome was, you use get_flow_session. This tool tells you the real-time operational status of the flow—did it succeed? Did it fail on step three? You get that granular detail every time.
The Full Workflow Picture
This combination means you're never blind. You start by listing all customers via list_customers and checking out their billing details using list_subscriptions. Then, if a user looks shaky, you check the flow structure with get_flow, manually trigger the sequence with start_flow, and keep monitoring that session status until it's complete.
You can refine the entire operation by saving new customer segments via save_customer before kicking off the whole thing. This server lets your agent handle every single touchpoint, from initial data retrieval to final subscription update, without you ever leaving your chat window.
019dd17f-0f02-7183-99fb-1405e7c6fe97 How Upzelo MCP Works
- 1 Subscribe to the Upzelo server and provide your App ID and API Key.
- 2 Your AI client calls a function like
list_customersorget_subscriptionto gather necessary data (e.g., identifying a churn risk). - 3 The agent uses the collected IDs and context to call
start_flow, which initiates the retention sequence in Upzelo.
The bottom line is that your AI client treats Upzelo like another internal database, allowing you to run complex customer lifecycle actions without switching interfaces.
Who Is Upzelo MCP For?
This server is for the Customer Success Manager who hates clicking through five different tabs just to reactivate a valuable account. It's also for Product Operations teams that need reliable, programmatic ways to sync customer data and audit subscription statuses across systems.
You use the agent to check a customer's current status (get_customer), then immediately trigger a targeted retention flow (start_flow) when they mention switching providers.
You run scripts that list all subscriptions and update attributes via update_subscription to ensure billing records match your internal CRM data.
You query the performance of entire campaigns by listing available flows (list_flows) or checking session outcomes using get_flow_session.
What Changes When You Connect
- Immediate action on churn: Don't just know a customer is leaving. Use
start_flowto launch an entire retention campaign—a personalized sequence of messages or offers—the second your agent spots the risk. - Full visibility into billing state: Forget logging into the billing dashboard. Call
get_subscriptionorlist_subscriptionsto pull real-time status, next renewal dates, and plan details instantly. - Precise customer data updates: Found a missing detail? Instead of opening a web form, use
save_customerto update segmentation tags directly through your agent's conversation context. - Audit flow performance: Track whether retention attempts actually work. Use
get_flow_sessionto check the outcome and status of any running campaign, confirming success or pinpointing failure points. - Centralized data access: Need a full view? The ability to run
list_customersmeans your agent can pull comprehensive lists for batch processing or sending reports without leaving your primary workspace.
Real-World Use Cases
The CSM needs to save an at-risk client.
A Customer Success Manager learns a key account is considering canceling. They ask their agent, 'What should I do for John Doe?' The agent runs get_customer first to confirm segmentation data. Then, it calls start_flow, initiating the highest priority retention sequence immediately.
Product Ops needs to audit billing records.
The Product Operations team needs to check if 50 enterprise accounts have updated their plan attributes after a recent product change. Instead of running manual reports, they ask the agent to list all subscriptions and then use get_subscription on specific IDs to confirm the new status.
The Growth Team needs campaign performance metrics.
The Business Growth team suspects a retention flow isn't working. They tell their agent, 'Check the last three active win-back campaigns.' The agent uses get_flow_session to pull the status and outcome for each session ID, confirming if the sequence completed successfully.
Syncing local IDs with Upzelo records.
Your internal system updates a customer's record. You use save_customer along with your external identifiers to link your data model directly to Upzelo, ensuring future calls using tools like get_customer pull the correct, linked profile.
The Tradeoffs
Assuming a customer is active.
A user just assumes that because they saw a name in their CRM, the account is valid and ready for a campaign. They try to run start_flow without checking anything first.
→
Always check status before acting. Use get_customer or get_subscription first. This verifies the ID exists and confirms if the customer is marked 'Active' or if their subscription needs an update via update_subscription.
Trying to bulk-modify data without listing.
A user wants to update 100 customer records but tries to write a script that hits the API 100 times manually, leading to potential rate limits and failure points.
→
Use list_customers or list_subscriptions first. This gives you the complete list of IDs needed for bulk processing. Then iterate over the returned list using targeted tools like save_customer.
Ignoring flow status checks.
You trigger a retention sequence (start_flow) and walk away, assuming it worked. You never check if the flow actually completed or stalled midway.
→
Always confirm completion. After calling start_flow, immediately follow up with get_flow_session using the returned session ID. This confirms the final outcome of the retention effort.
When It Fits, When It Doesn't
Use this server if your core problem is managing the entire customer lifecycle—from identifying a churn risk to triggering, monitoring, and completing an automated win-back campaign. You need tools that handle state changes (start_flow, update_subscription) alongside data retrieval (get_customer, list_customers). This setup functions as a full operational layer for retention.
Don't use this if your only need is basic messaging (just sending an email) or simple reporting. For pure communication, stick to dedicated messaging APIs; they don't track flow state. If you just need to read static data from another source that isn't a customer record or subscription, look for a general REST API connector instead of this specialized retention server.
Common Questions About Upzelo MCP
How do I check if a retention flow actually finished with Upzelo MCP Server? +
You use the get_flow_session tool. This function takes the session ID generated when you ran start_flow, and it reports the final status, confirming success or indicating where the sequence failed.
Can I list all my customers using Upzelo MCP Server? +
Yes, running list_customers pulls a comprehensive roster of every customer ID tracked in your account. This is useful for bulk reporting or identifying who needs immediate attention.
What if I need to change a subscription plan? Should I use update_subscription? +
Yes, update_subscription is the correct tool for changing attributes like status or plan type. It directly modifies the record in Upzelo without requiring manual UI interaction.
Is there a way to segment customers using the Upzelo MCP Server? +
You use save_customer for segmentation. You can create or modify customer records, adding specific tags or data points that allow your agent to target offers more accurately.
How do I get started and authenticate to run a flow using `start_flow`? +
You must supply your Upzelo App ID and API Key in the server configuration. These credentials authorize your AI client to access customer data and initialize retention sequences.
When I use the `save_customer` tool, how does it handle my external system identifiers? +
The tool links your internal Upzelo records to any external IDs you provide. This ensures that even if a customer record changes systems, their history stays connected for accurate targeting.
If I run into an error while checking flow status with `get_flow`, what should I check first? +
First, verify that the Flow ID and Customer IDs you passed are correct and active. Errors often relate to outdated credentials or non-existent identifiers rather than a system failure.
Should I use `list_subscriptions` or `get_subscription` if I only need details on one specific plan? +
Use get_subscription when you know the exact subscription ID. This is much more efficient because it pulls single data points directly, avoiding the overhead of listing every single record.
Can I manually start a retention flow for a customer via AI? +
Yes! Use the start_flow tool and provide the Flow ID, Customer ID, and Subscription ID. This will initialize the retention experience for that user immediately.
How do I see if a customer successfully stayed after a flow? +
Run the get_flow_session query with the specific Session ID. It will return the outcome and status of the retention attempt.
Is it possible to update a subscription's status via AI? +
Absolutely. Use the update_subscription tool by providing the Subscription ID and the new status to synchronize data between your systems and Upzelo.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.