How do I get an API Key for Gainsight PX?

Log in to Gainsight PX, go to Administration > Products, select your product, and you will find the API Key in the product settings.

Which region should I select?

Select 'US' if your account is hosted at api.aptrinsic.com, or 'EU' if it is hosted at api-eu.aptrinsic.com.

Can I identify new users through the agent?

Yes! Use the 'identify_px_user' tool and provide a unique 'identifyId'. The agent will create or update the user profile in Gainsight PX instantly.

Does this server support tracking custom events?

Yes, the 'track_server_event' tool allows you to log custom behavioral events for any identified user directly from your backend or chat interface.

Gainsight PX MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: Gainsight PX
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Gainsight PX through Vinkius, pass the Edge URL in the `mcps` parameter and every Gainsight PX tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Gainsight PX Specialist",
    goal="Help users interact with Gainsight PX effectively",
    backstory=(
        "You are an expert at leveraging Gainsight PX tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Gainsight PX "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Gainsight PX MCP Server

Connect your Gainsight PX (Aptrinsic) account to any AI agent to automate your product analytics and in-app engagement workflows through the Model Context Protocol (MCP). Gainsight PX helps you drive product adoption by understanding user behavior and delivering personalized in-app experiences. This MCP server enables you to manage user and account profiles, track server-side custom events, and retrieve engagement metadata directly through natural conversation.

When paired with CrewAI, Gainsight PX becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Gainsight PX tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

Key Features

User & Account Orchestration — Search and list users or accounts based on custom filters, and fetch detailed profile metadata instantly.
Profile Identification — Programmatically create or update user and account profiles to ensure your identity mapping is always accurate.
Server-Side Event Tracking — Log custom interaction events from your backend to enrich your product usage datasets without client-side code.
Feature Discovery — Access and list all product features currently being tracked to understand your instrumentation coverage.
Engagement Insights — Retrieve a list of active in-app guides, sliders, and surveys to monitor your communication strategy.
Multi-Region Support — Seamlessly connect to your specific Gainsight PX data center (US or EU).
Real-time Synchronization — Keep your product experience data accessible to your AI assistant without leaving your primary workspace.

The Gainsight PX MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Gainsight PX to CrewAI via MCP

Follow these steps to integrate the Gainsight PX MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Gainsight PX

Why Use CrewAI with the Gainsight PX MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Gainsight PX through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Gainsight PX + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Gainsight PX MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Gainsight PX for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Gainsight PX, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Gainsight PX tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Gainsight PX against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Gainsight PX MCP Tools for CrewAI (12)

These 12 tools become available when you connect Gainsight PX to CrewAI via MCP:

get_account_details

Get account metadata

get_my_identity

Get account profile

get_user_details

Get user metadata

identify_px_account

Sync account profile

identify_px_user

Sync user profile

list_product_features

List tracked features

list_px_accounts

Query PX accounts

list_px_engagements

List guides/surveys

list_px_products

List PX products

list_px_users

Query PX users

track_server_event

Log custom event

verify_api_connection

Check connection

Example Prompts for Gainsight PX in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Gainsight PX immediately.

"List all PX users who were last seen in the past 24 hours."

"Identify a new account 'Globex Corp' with ID 'acc_98765'."

"Track a custom event 'Clicked Upgrade Button' for user 'user_123'."

Troubleshooting Gainsight PX MCP Server with CrewAI

Common issues when connecting Gainsight PX to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Gainsight PX + CrewAI FAQ

Common questions about integrating Gainsight PX MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.