Pendo MCP. Analyze behavior, audit guides, and track adoption metrics.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Pendo lets your AI client manage product engagement data. It reads user behavior right from the source, listing in-app guides, tracking visitor activity, and analyzing feature usage across your application.
Need to know why users drop off? This server gives you access to guide metrics, account profiles, and full metadata schemas so your agent can answer deep questions about adoption.
What your AI agents can do
Get pendo account
Retrieves core data and properties for a specific registered Pendo account.
Get pendo guide
Gets the full setup details for one of your in-app guides.
Get pendo guide metrics
Pulls performance metrics, like views and completion rates, for a specific guide ID.
Retrieves a specific visitor’s profile, including their historical views and associated account data.
Pulls performance metrics for any specified in-app guide, detailing unique views, click rates, and completion stats.
Lists defined pages or features to confirm that your application is correctly instrumented with Pendo tracking.
Retrieves a list of saved user segments, helping you maintain visibility over specific audience groups.
Lists the full metadata schemas for visitor and account data, telling your agent exactly what fields it can query.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
Pendo MCP Server: 10 Tools for Product Analytics
These tools let your AI client access everything Pendo tracks. Check guide stats, list user segments, and pull visitor metadata—all via natural conversation.
019d75f0get pendo account
Retrieves core data and properties for a specific registered Pendo account.
019d75f0get pendo guide
Gets the full setup details for one of your in-app guides.
019d75f0get pendo guide metrics
Pulls performance metrics, like views and completion rates, for a specific guide ID.
019d75f0get pendo visitor
Retrieves detailed user data for one visitor, including their session history and account association.
019d75f0list pendo applications
Lists all major applications or products that are currently tracked in your Pendo subscription.
019d75f0list pendo features
Returns a list of every feature tag defined and used across your product pages.
019d75f0list pendo guides
Lists all the in-app guides that have been created and are active in your Pendo setup.
019d75f0list pendo metadata schema
Displays the complete list of metadata schemas available for accounts and visitors, showing what data points can be accessed.
019d75f0list pendo pages
Lists every specific page or feature that has been tagged and tracked within your Pendo instance.
019d75f0list pendo segments
Retrieves the names and definitions of all saved user segments you have created in Pendo.
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 Pendo, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ 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
What you can do with this MCP connector
Pendo lets your AI client manage product engagement data, pulling user behavior straight from the source. Forget digging through dashboards; you use natural conversation to get answers about how people actually use your app. Your agent connects directly to Pendo's core metrics, letting you ask deep questions about adoption and drop-off points without leaving your chat window.
Getting Visitor Details: You can pull up a specific visitor’s profile using get_pendo_visitor, which gives you their full session history and shows what account they belong to. If you need the big picture on an individual, running get_pendo_account retrieves core data and properties for any registered Pendo account.
Analyzing Guide Metrics: Wanna know if your in-app guides are actually useful? You start by listing all available guides with list_pendo_guides, then you get the specific setup details for any guide using get_pendo_guide. To check performance, get_pendo_guide_metrics pulls key data like unique views and completion rates for a given guide ID.
Auditing Product Tagging: Before you trust the numbers, you gotta make sure your product is set up right. Use list_pendo_pages to list every specific page or feature that has been tagged in your Pendo setup. You can also see every defined feature tag used across your app by running list_pendo_features, and you can check what major applications are tracked overall with list_pendo_applications.
List User Segments & Data Schema: To narrow down who you’re talking to, you use list_pendo_segments to get a list of all saved user segments—you'll always know exactly which audience group you're analyzing. For maximum clarity, the server provides list_pendo_metadata_schema, which displays the complete metadata schemas available for both accounts and visitors, telling your agent precisely what data points it can query about any user or account.
The Full Picture: You also get access to list_pendo_applications so you know exactly what products are connected, and if you need to check system-level details, list_pendo_metadata_schema shows the full list of available data points across your entire instance. This setup lets your agent answer tough questions about user adoption by combining visitor history with guide performance metrics and account properties.
How Pendo MCP Works
- 1 First, subscribe to this Pendo MCP Server on Vinkius.
- 2 Next, enter your unique Pendo Integration Key into the client settings.
- 3 Once connected, you can start asking your AI agent questions like 'What is the completion rate for Guide X?' and it runs the necessary tool call.
The bottom line is: you talk to your agent, and the server talks directly to Pendo's APIs, giving you structured data answers in return.
Who Is Pendo MCP For?
Product Managers, Customer Success Managers, and Growth Engineers. This tool is for anyone who needs proof of user behavior—the PM who gets stuck manually compiling guide performance reports, the CSM who has to look up a high-value client's entire journey during an emergency call, or the engineer auditing tracking coverage before launch.
Uses get_pendo_guide_metrics to quickly check if a new feature guide is hitting its click-through goal, or uses list_pendo_features to verify tagging coverage.
Runs get_pendo_visitor on a specific customer to pull their activity history and account metadata before hopping on a support call.
Uses list_pendo_metadata_schema to map out available data fields, or runs list_pendo_segments to check if the right user groups are being targeted for an A/B test.
What Changes When You Connect
- Check Guide Performance: Instead of opening the Pendo dashboard to find a guide's stats, ask your agent directly. Use
get_pendo_guide_metricsto instantly pull unique views and click-through rates for any guide. - Understand User Context: Never guess what a customer did. Run
get_pendo_visitoron a user ID; you immediately see their associated account data, property values, and recent activity history. - Audit Product Coverage: Before rolling out a new feature, use
list_pendo_featuresorlist_pendo_pages. This confirms if the correct tracking tags are even defined in your product setup. - Target Smarter: Use
list_pendo_segmentsto list your saved user groups. You can then query visitor data against these segments, focusing your analysis only on 'Trial Users' or 'Enterprise Accounts'. - Verify Data Fields: Need to know what variables are available for reporting? Run
list_pendo_metadata_schema. This tells you the precise fields (like role or signup date) you can pull from visitor records.
Real-World Use Cases
The PM needs to check a new onboarding flow.
The Product Manager asks: 'How is the 'Initial Setup Guide' doing?' The agent runs get_pendo_guide_metrics, returning that 1,500 unique visitors viewed it, but the completion rate is only 32%. This tells the PM exactly where to rewrite the guide.
A CSM needs context on a difficult client.
The CSM asks: 'Show me everything about user @clientcorp.com.' The agent runs get_pendo_visitor, providing not just their recent views, but also confirming they belong to the 'Enterprise' account segment and have an admin role.
An engineer needs to audit tracking coverage.
The Growth Engineer asks: 'List all defined pages and features.' The agent runs list_pendo_pages and list_pendo_features, allowing the engineer to compare the list against a deployment checklist, ensuring nothing is missed before launch.
A PM wants to know which users are failing.
The Product Manager asks: 'List all active user segments and tell me about the 'Stuck Trial User' segment.' The agent runs list_pendo_segments and uses that context to guide the next steps, allowing focused intervention.
The Tradeoffs
Assuming a tag exists
A user asks the AI: 'Tell me about the widget on the sidebar.' The agent replies with an error because no one ran list_pendo_pages first.
→
Always run list_pendo_pages or list_pendo_features first. This confirms that Pendo has actually tagged the element you're asking about before attempting to get metrics.
Asking for user data without context
A request like 'What is this user doing?' is too vague and returns an error because no specific visitor ID was provided.
→
You must provide a unique identifier. Use get_pendo_visitor and supply the specific visitor email or ID to get accurate, actionable data.
Overlooking available fields
The AI only pulls basic stats (views) when you actually need account properties like 'Role' or 'Company Size'.
→
Before querying visitor details, run list_pendo_metadata_schema. This reveals all possible data points and lets your agent pull richer context.
When It Fits, When It Doesn't
Use this server if your core problem is understanding user behavior within a product. You need to know what people click, which guides they follow, or why their adoption stalled. Don't use it just because you want a user list; always check the list_pendo_metadata_schema first—that tells you what data points are actually available for query.
Don't use this server if your main goal is simple authentication (e.g., 'Does this email exist?'). For that, use an identity service. Use it instead if you need to compare segment definitions (list_pendo_segments) against actual activity data (get_pendo_guide_metrics).
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Pendo. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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.
Available Capabilities
Tracking user behavior shouldn't feel like a scavenger hunt through 5 different dashboards.
Today, tracking adoption means jumping between the main dashboard, the guide performance tab, and then pulling raw visitor data into a separate spreadsheet. You copy IDs, you cross-reference dates, and by the time you assemble the report, half the metrics are already stale.
With this MCP server, that manual effort vanishes. Your agent handles the complexity. Instead of clicking through reports, you just ask: 'What's the completion rate for our new guide?' And you get a clean, single-source answer.
Pendo MCP Server: Get adoption insights directly from your chat.
You no longer need to manually navigate the Pendo UI just to verify if tracking is set up. You can ask it to 'List all tagged features' and get an immediate, structured list of everything that’s being tracked, verifying instrumentation in seconds.
This means your product insights move at the speed of conversation. Your agent accesses complex data—from `get_pendo_visitor` to segment lists—and delivers actionable facts without you ever leaving your chat window.
Common Questions About Pendo MCP
How do I list all available guides with Pendo MCP Server? +
You run the list_pendo_guides tool. This immediately gives you a roster of every guide defined in your account so you know what to analyze.
What is the difference between list_pendo_features and list_pendo_pages? +
Use list_pendo_features when you want a catalog of tagged product capabilities (like 'Payment Widget'). Use list_pendo_pages when you need to see specific, full pages or views that are tracked.
Can I check metrics for a user using get_pendo_visitor? +
No. The get_pendo_visitor tool retrieves profile data (properties, history). Use the dedicated get_pendo_guide_metrics tool to see performance stats like click-through rates.
How do I find out what metadata is available? +
Run list_pendo_metadata_schema. This returns all the possible data points—the fields and types—available for you to query against a visitor or account record.
What credentials are needed to successfully run `get_pendo_account`? +
You must provide a valid Pendo Integration Key in the connection parameters. This key authenticates your request and grants access to your account data. If the key is incorrect or expired, the tool will return an authentication failure.
What should I do if `get_pendo_guide_metrics` returns a rate limit error? +
A rate limit error means you've exceeded the allowed number of calls in a specific timeframe. The server response will include information on when to retry the request. Wait for the specified window, then try again.
Can I filter results when using `list_pendo_segments`? +
Yes. You can pass optional parameters like date ranges or segment status during execution. This lets you narrow down which segments you are viewing without retrieving the entire list.
How does `get_pendo_visitor` differ from checking a user's overall account details? +
The visitor tool focuses on activity tied to a single session or visit. The account lookup provides the complete, longitudinal profile history associated with that specific customer ID.
How do I find my Pendo Integration Key? +
In Pendo, navigate to Settings > Integrations. There you can find or generate your Integration Key for API access.
Can I see real-time statistics for my guides? +
Yes! Use the get_pendo_guide_metrics tool with a Guide ID to retrieve live data on views, clicks, and completion rates.
Does this support looking up individual user metadata? +
Absolutely. Use the get_pendo_visitor tool to retrieve all identified properties, account association, and activity history for a specific user ID.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
More in this category
Airtable
Connect your Airtable bases to your AI agent — query records, edit spreadsheets, and build automated workflows naturally via chat.
Klaviyo (Marketing Automation)
Manage your B2C CRM via Klaviyo — create profiles, track email campaigns, and audit automation flows.
Twilio SendGrid
Equip your AI agent with capabilities to natively dispatch HTML emails, prune suppression bounce lists, and manage marketing contacts via the SendGrid API.
You might also like
Spotio
Manage leads, pipelines, and field sales activities on Spotio with AI agents.
Manage your LinkedIn presence — audit organizations, posts, and profile via AI.
NeverBounce
Verify and clean email addresses via NeverBounce — track single checks and bulk jobs directly from your AI agent.