TalkingData MCP. Query product behavior and growth metrics via chat.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
TalkingData connects your AI client directly to a leading big data platform, letting you query complex product and user metrics using natural language.
Instead of navigating dashboards or writing SQL, your agent instantly retrieves active user counts, tracks custom events, analyzes cohort retention, and breaks down performance across every marketing channel.
What your AI agents can do
Get active users
Gets current statistics on how many users are active right now.
Get app info
Retrieves general configuration details for the application itself.
Get app summary
Pulls a high-level overview of overall application performance metrics.
Retrieve real-time statistics on active users, new signups, and how long users stick around.
Pull detailed analytics for any custom event you've tracked—like 'Add_to_Cart' or 'Profile_Updated'.
Break down user performance and growth by the marketing channel they came through.
Get metrics like average session duration and usage frequency to gauge how sticky your product is.
Access detailed device hardware stats, including OS version and specific models, for user segmentation.
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TalkingData MCP Server: 10 Tools for User Analytics
Access all tools to track user events, analyze device performance, monitor acquisition channels, and gauge overall product health—all through your AI client.
019d8487get active users
Gets current statistics on how many users are active right now.
019d8487get app info
Retrieves general configuration details for the application itself.
019d8487get app summary
Pulls a high-level overview of overall application performance metrics.
019d8487get channel data
Gathers specific data points about where users are coming from (acquisition channels).
019d8487get device stats
Retrieves detailed hardware statistics for the user devices accessing the app.
019d8487get event data
Analyzes specific, custom-tracked events to understand what users did in detail.
019d8487get new users
Gets the total count and details of new user registrations over a set period.
019d8487get session stats
Retrieves usage statistics, like average time spent in sessions or frequency.
019d8487get user retention
Calculates and reports on how many users return to the app over time (retention data).
019d8487list events
Lists all custom event types that are currently being tracked by the system.
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
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Make Your AI Do More
Start with TalkingData, 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
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- 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
TalkingData connects your AI client straight into a big data platform, letting you ask complex questions about product usage and user behavior using plain English. You skip the dashboard nightmare and don't gotta write SQL queries anymore; your agent just pulls the metrics you need, instantly.
When you use this server, your AI client acts like a veteran data analyst who never sleeps. It handles everything from auditing specific user actions to tracking growth trends across every marketing channel—all without taking you off the chat screen.
Measuring User Activity and Growth
You can get real-time stats on how many users are active right now using get_active_users. You'll also track new registrations over a specific time frame with get_new_users, getting both the total count and detailed signup info. For staying power, you check user retention rates by calling get_user_retention to see how many users are coming back.
To gauge general product engagement, use get_session_stats for usage metrics like average time in session or how often people log in.
Deep Diving into Behavior and Performance
To find out exactly what your app is doing overall, pull a high-level view with get_app_summary. You can also see the general setup details of the application itself by running get_app_info. Need to know what users actually did? You use list_events first to grab a complete list of every custom event type being tracked.
Then, you drill down with get_event_data, analyzing specific behavioral triggers—like when someone 'Add_to_Cart' or 'Profile_Updated'—to understand the user journey in minute detail.
Understanding Where Users Come From and What Gear They Use
To figure out where your growth is coming from, you run get_channel_data. This tool breaks down performance by every marketing channel that brings people to your app. For deeper context on who's using the product, use get_device_stats to access detailed hardware specs, including OS versions and specific device models, letting you segment users based on their gear.
You can also get a general overview of all usage stats through get_app_summary.
How It Works for You
Once you subscribe to the TalkingData server, you just plug in your App ID and API Key (the Access Token). Then, you tell your AI client exactly what you want—you don't need to know how complex SQL is. Whether you ask, 'What's our retention rate?' or 'List all tracked events,' the agent handles the query and gives you the clean data back.
How TalkingData MCP Works
- 1 Subscribe to the TalkingData MCP Server and provide your required App ID and API Key.
- 2 Connect this server to any compatible AI client (Claude, Cursor, etc.).
- 3 Ask your agent a question like, 'What was our active user count today?' The tool runs the query and returns the structured data directly into the chat.
The bottom line is that you talk to your analytics platform instead of logging into its UI.
Who Is TalkingData MCP For?
This is for Product Managers who hate clicking through 12 different dashboards. It's for Data Analysts who need system-wide metrics fast, and Growth Engineers who spend too much time correlating channel data with retention rates. If you use user behavior as your job, this saves hours.
Needs to quickly audit feature adoption or check if a new UI change actually moved the needle on active users.
Must retrieve system-wide behavioral metrics and run cohort analysis without building custom data pipelines every time.
Needs to correlate channel performance (e.g., TikTok vs. Google Ads) with user retention rates in real time.
What Changes When You Connect
- Stop building reports for basic stats. Use
get_active_usersto get real-time user counts instantly, whether you're checking the morning status or debugging a sudden drop-off. - You can deeply audit specific actions with
get_event_data. Instead of sifting through raw logs, ask your agent about 'Add_to_Cart' events and get detailed analytics immediately. - Figure out where your users are coming from.
get_channel_datalets you compare performance across different marketing sources without leaving the chat window. Great for campaign reviews. - Track user loyalty using
get_user_retention. This tool gives you cohort data, showing exactly how many new signups stick around after 30 days, which is crucial for product health. - Get context on how users are viewing your app with
get_device_stats. You can pull hardware details (OS, model) to see if performance issues cluster on certain phone types.
Real-World Use Cases
Diagnosing a Drop in Feature Usage
The PM notices engagement dropped last week. They ask the agent for get_event_data specifically filtered by 'Feature X'. The agent returns data showing that 80% of users stopped triggering this event after using an old mobile OS, leading to a targeted UI fix.
Evaluating a New Marketing Campaign
The Growth Engineer just launched a paid campaign. They ask the agent to run get_channel_data for that week and compare it directly against baseline data, isolating the performance increase only from the new channel.
Understanding Initial User Stickiness
The team needs to know if their onboarding flow is working. They use get_user_retention on the newest cohort and find out that, while signups are high (get_new_users), retention drops sharply after day two, signaling a major UX problem.
Pre-Mortem Hardware Audit
Before releasing an update, the QA team uses get_device_stats to check if crashes are spiking on older Android models. The agent quickly pulls device breakdowns, identifying a specific hardware bottleneck that needs fixing.
The Tradeoffs
Over-relying on raw logs.
The analyst tries to manually filter 50GB of JSON logs in Kibana to find out how many users came from Facebook last month, wasting hours and risking query timeouts.
→
Use the TalkingData MCP Server. First, run get_channel_data for 'Facebook' then check the results with get_user_retention to get a clean, comparative answer in seconds.
Treating every metric as unique.
The PM tries to write a separate query for 'active users', another for 'new signups', and a third for 'daily usage count' across three different tools. It’s messy and inconsistent.
→
Use the combination of get_app_summary with get_active_users. The agent handles the aggregation, giving you one consistent view of key metrics.
Forgetting to scope data by device.
The team sees low performance numbers but assumes it's a general bug. They don't know if it only happens on older iPhones or specific OS versions.
→
Always run get_device_stats alongside your metric query. This immediately tells you if the issue is limited to one hardware segment.
When It Fits, When It Doesn't
Use this server if your primary bottleneck is translating complex, siloed product metrics into actionable answers—especially if you need to correlate user behavior (events) with growth sources (channels). It's perfect for PMs and Data Analysts. Don't use it if all you need is a simple list of IDs or data that exists in a single, pre-aggregated dashboard view. If your goal is just basic reporting without needing AI interpretation, a standard BI tool will suffice. However, when you need to ask 'Why?'—like 'Why did retention drop for users acquired via Instagram in Q3?'—this MCP Server makes the complex data conversation happen instantly by combining calls to get_user_retention, get_channel_data, and list_events.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TalkingData. 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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Policy on every call
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Token Compression
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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.
Available Capabilities
Tired of jumping between dashboards just to check user metrics?
Today, checking basic product health means logging into the analytics portal. You click on 'Active Users,' copy that number. Then you switch tabs to 'Retention' and run another query. If you want to see how many new users from a specific channel actually stick around? That requires running three separate reports, cross-referencing dates in Excel, and praying nothing breaks.
With the TalkingData MCP Server, your agent does all that work for you. You just ask: 'Show me the retention rate for users who came through Google Ads.' The agent runs `get_channel_data` and immediately feeds that context into `get_user_retention`, giving you one clean answer right away.
TalkingData MCP Server: Get real-time product intelligence.
Manual auditing of custom events is a nightmare. You have to remember the exact event name, filter by time window, and then manually interpret if that spike means growth or just bot activity. It's slow, tedious work best left to scripts.
Now, you simply ask your agent: 'What was the volume of 'Search_Failure' events yesterday?' The agent runs `get_event_data` and provides immediate metrics, giving you instant visibility into specific user pain points.
Common Questions About TalkingData MCP
How do I check if my users are using the app on old hardware with TalkingData MCP Server? +
You use the get_device_stats tool. This function pulls detailed data like model and OS, letting you segment your user base by device specs to identify performance bottlenecks.
Does TalkingData MCP Server track every single action? What events can I list? +
You use the list_events tool. It provides a definitive list of all custom event types that are currently being tracked, so you know exactly what data is available for querying.
Can TalkingData MCP Server tell me if my new marketing campaign worked? +
Yes. Run get_channel_data to see the acquisition sources and compare that output with get_user_retention to understand if those new users are sticking around.
What is the difference between using get_app_summary and getting application info? +
get_app_summary provides key performance indicators (KPIs) like growth rate. get_app_info, however, pulls basic configuration data about the app setup itself.
When I use get_app_info, what details does it provide about my TalkingData account? +
It pulls core application configuration data. This includes the primary App ID and API Key status needed for all subsequent calls. It confirms that your server connection parameters are correct before you query live metrics.
Are there rate limits if I frequently call get_active_users or get_session_stats? +
Yes, the API imposes usage quotas to prevent service overload. We recommend batching related requests where possible and adhering to the documented rate limit schedule for sustained monitoring.
How does TalkingData calculate user retention when I use get_user_retention? +
It calculates retention based on defined user cohorts over time. It tracks the percentage of users who return (re-engage) within a specified window after their initial signup date.
Can I filter the results from get_event_data to specific date ranges? +
You must include start and end timestamps in the tool call parameters. This allows you to narrow down custom event analytics, making it much easier to audit data for a single campaign period.
How do I find my TalkingData App ID and API Key? +
Log in to the TalkingData portal, select your application from the management console, and you will find your AppID and API Key (Access Token) in the application settings or 'App Info' section.
Can I query data for a specific date range? +
Yes. Tools like get_active_users and get_new_users accept optional start_date and end_date parameters (in YYYY-MM-DD format) to retrieve statistics for specific periods.
Is it possible to list all custom events? +
Yes! Use the list_events tool to retrieve a complete list of all custom behavioral events currently being tracked in your application, along with their unique identifiers.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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