How to Use the Gainsight PX MCP in CrewAI

Q: How do I give my CrewAI agents access to Gainsight PX?

Pass the MCP server URL directly into the mcps array in your Agent definition. CrewAI handles the tool parsing automatically.

Q: Can I restrict Gainsight PX tools for my CrewAI agents?

Yes. Use MCPServerHTTP and apply a toolfilter. You can give your researcher agent listpxusers while blocking trackserverevent.

Q: How do multiple CrewAI agents share Gainsight PX data?

CrewAI uses shared memory. If Agent A calls getaccountdetails, Agent B can read that account metadata without making a second API call.

Q: Does this setup require Python?

Yes. CrewAI is a Python framework. You will install the crewaitools package to enable MCP support.

Q: What happens to user data pulled by the crew via this MCP integration?

Agents pull identifiable records via getuserdetails. This data stays in the crew's local execution memory and is destroyed when the process terminates.

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Connect Gainsight PX MCP to CrewAI

Create your Vinkius account to connect Gainsight PX to CrewAI 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 Gainsight PX with CrewAI

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Deploy Specialized Analytics Agents

Stop making one AI do everything. You need a dedicated researcher agent that only looks at user behavior. Give this agent access to `list_px_users` and `list_px_accounts`. It spends its time querying your active user base, finding churn risks, and passing that context to the rest of your crew.

CrewAI MCP Server for Engagements

Your researcher finds the problem. Your engagement manager agent fixes it. This is how hierarchical execution works. The manager agent takes the churn list and calls `list_product_features` to see what users missed. It then runs `list_px_engagements` to find the right onboarding guide to trigger next.

Autonomous Event Auditing

You can set up a monitor agent to watch your tracking infrastructure continuously. It runs in the background without human input using these MCP tools. The agent pings `verify_api_connection` to ensure uptime. If it spots a missing event property, it fires a correction via `track_server_event`. It logs the action and goes back to sleep.

Setup guide

Set up Gainsight PX MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Gainsight PX tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Gainsight PX Analyst",
    goal="Access and analyze Gainsight PX data via MCP.",
    backstory="Expert analyst with direct Gainsight PX access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Gainsight PX transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Gainsight PX Analyst",
        goal="Access and analyze Gainsight PX data via MCP.",
        backstory="Expert analyst with direct Gainsight PX access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Gainsight PX transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gainsight PX. 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 Gainsight PX MCP in CrewAI

Pass the MCP server URL directly into the `mcps` array in your Agent definition. CrewAI handles the tool parsing automatically.

Yes. Use `MCPServerHTTP` and apply a `tool_filter`. You can give your researcher agent `list_px_users` while blocking `track_server_event`.

CrewAI uses shared memory. If Agent A calls `get_account_details`, Agent B can read that account metadata without making a second API call.

Yes. CrewAI is a Python framework. You will install the `crewai[tools]` package to enable MCP support.

Agents pull identifiable records via `get_user_details`. This data stays in the crew's local execution memory and is destroyed when the process terminates.

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