How to Use the FullStory MCP in Google ADK

Q: How do I link BigQuery data to FullStory via Google ADK?

Sync your user IDs using createupdateuser. Once your CRM and FullStory identities align, your agent can cross-reference behavioral data with your BigQuery datasets.

Q: Can Google ADK agents filter FullStory tools?

Yes, use the toolnames filter in your McpToolset configuration. This restricts your agent to only the specific tools it needs for the task at hand.

Q: How do I verify FullStory account status in Google ADK?

Call getaccountinfo. It returns your workspace scope and confirms the integration is active, which is useful for your agent's initial health checks.

Q: How is PII handled when using FullStory with Google ADK?

We recommend strict server-side masking. The deleteuser tool is available to ensure compliance by wiping PII-sensitive session history whenever required.

Connect your Google ADK agent to FullStory to ground your enterprise workflows in actual user behavior data.

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Connect FullStory MCP to Google ADK

Create your Vinkius account to connect FullStory to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup FullStory with Google ADK

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Enterprise session intelligence for Google ADK

Your agent queries deep session metadata via `get_session` to ground its reasoning in real user activity. It fetches click trails and navigation events using `get_session_events` to build a complete picture of the UX. This is designed for high-scale environments where manual triage is impossible. Your agent processes these events to identify patterns that standard logs miss.

Behavioral search for Google ADK agents

Use `list_segments` to pull saved audience definitions directly into your agent's context. Your agent then uses `list_sessions` to find specific users who match those behavioral profiles. This allows your agent to perform targeted outreach or debugging. It pulls the exact data needed to make informed decisions without loading unnecessary records.

Data warehouse prep for Google ADK

Manage your bulk data offloads by checking the status of your exports with `list_exports`. Your agent verifies that data is ready for BigQuery ingestion before triggering downstream processes. This ensures your analytics pipeline remains consistent. Your agent only acts on verified, ready-to-download datasets.

Setup guide

Set up FullStory MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with FullStory tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="FullStory_agent",
    model="gemini-2.0-flash",
    instruction="You have access to FullStory tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FullStory. 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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Common questions about FullStory MCP in Google ADK

Sync your user IDs using `create_update_user`. Once your CRM and FullStory identities align, your agent can cross-reference behavioral data with your BigQuery datasets.

Yes, use the `tool_names` filter in your `McpToolset` configuration. This restricts your agent to only the specific tools it needs for the task at hand.

Yes, the server supports standard HTTP transport. Configure your `StreamableHttpServerParameters` with the endpoint URL to connect your agent instantly.

Call `get_account_info`. It returns your workspace scope and confirms the integration is active, which is useful for your agent's initial health checks.

We recommend strict server-side masking. The `delete_user` tool is available to ensure compliance by wiping PII-sensitive session history whenever required.

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