Gainsight CS 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 CS as an MCP tool provider through the 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 CS. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Gainsight CS?"
)
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 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.
LlamaIndex agents combine Gainsight CS tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through the 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
- 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 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 CS to LlamaIndex via MCP
Follow these steps to integrate the Gainsight CS 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 CS
Why Use LlamaIndex with the Gainsight CS MCP Server
LlamaIndex provides unique advantages when paired with Gainsight CS through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Gainsight CS tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Gainsight CS tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Gainsight CS, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Gainsight CS tools were called, what data was returned, and how it influenced the final answer
Gainsight CS + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Gainsight CS MCP Server delivers measurable value.
Hybrid search: combine Gainsight CS real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Gainsight CS 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 CS for fresh data
Analytical workflows: chain Gainsight CS queries with LlamaIndex's data connectors to build multi-source analytical reports
Gainsight CS MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Gainsight CS to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Gainsight CS to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGainsight CS + LlamaIndex FAQ
Common questions about integrating Gainsight CS 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 CS 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 CS to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.