How to Use the Gainsight PX MCP in LlamaIndex

Q: How do I feed Gainsight PX data into my LlamaIndex knowledge base?

Install llama-index-tools-mcp and set up a basic client. Wrap it with McpToolSpec and pass the async tool list directly to your FunctionAgent to access the MCP Server.

Q: Can I restrict which Gainsight PX tools LlamaIndex can access?

Yes. Use the allowedtools filter when configuring your tool spec. You can allow listproductfeatures while blocking trackserverevent to keep your index read-only.

Index your Gainsight PX analytics into searchable vector stores using LlamaIndex and this MCP integration.

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Connect Gainsight PX MCP to LlamaIndex

Create your Vinkius account to connect Gainsight PX to LlamaIndex 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 LlamaIndex

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Vectorize Your PX Users

The `list_px_users` tool dumps your raw product analytics into LlamaIndex so you can embed the results. Instead of running SQL, you just ask your agent which segments dropped off during onboarding. When a query needs deeper context, the FunctionAgent calls `get_user_details` on the fly. It grabs the missing metadata, indexes it alongside the existing vector store, and returns an answer grounded in actual API responses.

Search In-App Guide Configurations

Fetching your entire messaging strategy via `list_px_engagements` gives your knowledge base a map of every active tooltip and survey. You can literally ask your agent why a specific guide fired. The index combines this with `list_product_features` to understand your UI layout. If someone asks about the checkout flow, the agent cross-references the tracked features with the active guides.

Ground Answers in Account Data with MCP

Calling `list_px_accounts` pulls company-level metrics into your RAG application. You don't have to guess which enterprise clients are at risk of churn. The agent drills down using `get_account_details` when it spots an anomaly. It embeds the specific account profile into the session context, letting you interrogate the data naturally.

Setup guide

Set up Gainsight PX MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Gainsight PX MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Gainsight PX tools.",
)
response = await agent.run("List recent Gainsight PX data")

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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 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 LlamaIndex

Install `llama-index-tools-mcp` and set up a basic client. Wrap it with `McpToolSpec` and pass the async tool list directly to your FunctionAgent to access the MCP Server.

Only if you explicitly index the output. Otherwise, the agent calls the MCP Server live every time you ask a question about your active guides.

Yes. Use the `allowed_tools` filter when configuring your tool spec. You can allow `list_product_features` while blocking `track_server_event` to keep your index read-only.

It handles it automatically if you prompt it correctly. It will iteratively call `list_px_accounts` and append the results to your vector store until it hits the limit.

You are pulling sensitive account IDs and usage metrics via `get_account_details`. Vinkius handles the transport through a zero-trust ephemeral tunnel, meaning your credentials never leak into the index itself.

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