Gainsight PX MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Gainsight PX as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Gainsight PX. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Gainsight PX?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Gainsight PX tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Gainsight PX MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from Gainsight PX
Why Use LlamaIndex with the Gainsight PX MCP Server
LlamaIndex provides unique advantages when paired with Gainsight PX through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Gainsight PX tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Gainsight PX tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Gainsight PX, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Gainsight PX tools were called, what data was returned, and how it influenced the final answer
Gainsight PX + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Gainsight PX MCP Server delivers measurable value.
Hybrid search: combine Gainsight PX real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Gainsight PX to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Gainsight PX for fresh data
Analytical workflows: chain Gainsight PX queries with LlamaIndex's data connectors to build multi-source analytical reports
Gainsight PX MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Gainsight PX to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Gainsight PX to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGainsight PX + LlamaIndex FAQ
Common questions about integrating Gainsight PX MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Gainsight PX with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Gainsight PX to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
