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 CrewAI 12 tools — connect in under 2 minutes

Name: Gainsight CS
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Gainsight CS through the Vinkius — pass the Edge URL in the `mcps` parameter and every Gainsight CS tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Gainsight CS Specialist",
    goal="Help users interact with Gainsight CS effectively",
    backstory=(
        "You are an expert at leveraging Gainsight CS tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Gainsight CS "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Gainsight CS becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Gainsight CS tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Gainsight CS MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 12 tools from Gainsight CS

Why Use CrewAI with the Gainsight CS MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Gainsight CS through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Gainsight CS + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Gainsight CS for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Gainsight CS, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Gainsight CS tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Gainsight CS against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Gainsight CS MCP Tools for CrewAI (12)

These 12 tools become available when you connect Gainsight CS to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Gainsight CS + CrewAI FAQ

Common questions about integrating Gainsight CS MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.