How do I get an Access Key for Gainsight?

Log in to your Gainsight NXT instance, navigate to Administration > Connectors 2.0 > Gainsight API, and generate a new Access Key.

What is the 'Domain' required for setup?

Your domain is the base URL of your cloud instance (e.g., 'acme.gainsightcloud.com'). Do not include 'https://' or any path prefixes.

Can I log activity directly to the customer timeline?

Yes! Use the 'log_timeline_activity' tool. Provide the subject, note, and the associated Company ID to instantly add an entry to their timeline.

Are health scores accessible via the agent?

Yes, when you use 'get_company_health', the agent retrieves the current health score metadata along with the assigned CSM and other attributes.

Gainsight CS MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Gainsight CS
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Gainsight CS through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 CS "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Gainsight CS?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 CS MCP Server

Connect your Gainsight Customer Success (NXT) instance to any AI agent to automate your customer retention and engagement operations through the Model Context Protocol (MCP). Gainsight is the industry-standard platform for customer success, empowering CSMs to manage health scores, track activities, and close CTAs. This MCP server enables you to retrieve company metadata, log timeline events, and oversee cockpit tasks directly through natural conversation.

Pydantic AI validates every Gainsight CS tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through the 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

Company Health Oversight — List all customer companies, retrieve detailed profiles including health scores, and verify CSM assignments instantly.
Timeline Activity Management — Access the customer activity timeline and programmatically log new calls, meetings, or notes directly from your chat interface.
People & Contact Data — Access detailed profile information for customers and partners managed within the Gainsight People object.
Cockpit Automation — List and manage Calls to Action (CTAs) and associated tasks to stay on top of your retention playbook.
Workforce Insights — Verify your own identity and profile details to ensure you are working in the correct account context.
Real-time Synchronization — Keep your customer success strategy accessible to your AI assistant without leaving your primary workspace.
NXT API Integration — Leverage the power of the Gainsight NXT platform with secure header-based authentication.

The Gainsight CS 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 CS to Pydantic AI via MCP

Follow these steps to integrate the Gainsight CS 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 CS with type-safe schemas

Why Use Pydantic AI with the Gainsight CS MCP Server

Pydantic AI provides unique advantages when paired with Gainsight CS 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 CS 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 CS connection logic from agent behavior for testable, maintainable code

Gainsight CS + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Gainsight CS MCP Server delivers measurable value.

Type-safe data pipelines: query Gainsight CS with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Gainsight CS tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Gainsight CS and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Gainsight CS responses and write comprehensive agent tests

Gainsight CS MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Gainsight CS to Pydantic AI via MCP:

get_company_health

Get company metadata

get_cta_metadata

Get CTA details

get_my_identity

Get current user profile

get_person_details

Get person metadata

get_task_metadata

Get task details

list_calls_to_action

List cockpit CTAs

list_cockpit_tasks

List cockpit tasks

list_crm_people

List Gainsight people

list_customer_companies

List Gainsight companies

list_timeline_events

List timeline activities

log_timeline_activity

Log new activity

verify_api_connection

Verify connection

Example Prompts for Gainsight CS in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Gainsight CS immediately.

"List my top 5 customer companies and their health scores."

"Log a 'Call' activity for 'Acme Corp' (ID: 12345) saying 'Discussed Q4 renewal'."

"Show me all pending CTAs in my Gainsight cockpit."

Troubleshooting Gainsight CS MCP Server with Pydantic AI

Common issues when connecting Gainsight CS to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Gainsight CS + Pydantic AI FAQ

Common questions about integrating Gainsight CS MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Gainsight CS MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.