Gainsight PX MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Gainsight PX through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Gainsight PX "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Gainsight PX?"
)
print(result.data)
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.
Pydantic AI validates every Gainsight PX tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Gainsight PX MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the Gainsight PX MCP Server
Pydantic AI provides unique advantages when paired with Gainsight PX through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Gainsight PX integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Gainsight PX connection logic from agent behavior for testable, maintainable code
Gainsight PX + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Gainsight PX MCP Server delivers measurable value.
Type-safe data pipelines: query Gainsight PX with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Gainsight PX tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Gainsight PX and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Gainsight PX responses and write comprehensive agent tests
Gainsight PX MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect Gainsight PX to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Gainsight PX to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGainsight PX + Pydantic AI FAQ
Common questions about integrating Gainsight PX MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.