Gainsight PX MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Gainsight PX through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"gainsight-px": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Gainsight PX, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Gainsight PX through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Gainsight PX MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from Gainsight PX via MCP
Why Use LangChain with the Gainsight PX MCP Server
LangChain provides unique advantages when paired with Gainsight PX through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Gainsight PX MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Gainsight PX queries for multi-turn workflows
Gainsight PX + LangChain Use Cases
Practical scenarios where LangChain combined with the Gainsight PX MCP Server delivers measurable value.
RAG with live data: combine Gainsight PX tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Gainsight PX, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Gainsight PX tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Gainsight PX tool call, measure latency, and optimize your agent's performance
Gainsight PX MCP Tools for LangChain (12)
These 12 tools become available when you connect Gainsight PX to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Gainsight PX to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGainsight PX + LangChain FAQ
Common questions about integrating Gainsight PX MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.