CustomerGauge MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect CustomerGauge through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
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({
"customergauge": {
"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 CustomerGauge, 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 CustomerGauge MCP Server
Integrate CustomerGauge, the leading B2B Experience Management platform, directly into your AI workflow. Monitor customer survey responses, track Net Promoter Scores (NPS) across your account portfolio, and analyze the revenue impact of customer experience using natural language.
LangChain's ecosystem of 500+ components combines seamlessly with CustomerGauge through native MCP adapters. Connect 10 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.
What you can do
- Response Monitoring — List and retrieve full details for customer survey responses and feedback.
- Account NPS Tracking — Monitor NPS metrics for specific business accounts and business units.
- Contact Insights — Access detailed profiles and survey history for individual account contacts.
- Revenue Impact Analysis — List revenue data associated with accounts to understand experience-driven growth.
The CustomerGauge MCP Server exposes 10 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 CustomerGauge to LangChain via MCP
Follow these steps to integrate the CustomerGauge 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 10 tools from CustomerGauge via MCP
Why Use LangChain with the CustomerGauge MCP Server
LangChain provides unique advantages when paired with CustomerGauge through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine CustomerGauge 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 CustomerGauge queries for multi-turn workflows
CustomerGauge + LangChain Use Cases
Practical scenarios where LangChain combined with the CustomerGauge MCP Server delivers measurable value.
RAG with live data: combine CustomerGauge tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query CustomerGauge, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain CustomerGauge tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every CustomerGauge tool call, measure latency, and optimize your agent's performance
CustomerGauge MCP Tools for LangChain (10)
These 10 tools become available when you connect CustomerGauge to LangChain via MCP:
get_account_nps
Resolves quantitative satisfaction scores. Interacts with the sentiment aggregation engine. Get the Net Promoter Score (NPS) for a specific account
get_business_unit_nps
Resolves organizational performance data. Interacts with the business unit hierarchy. Get NPS metrics for a specific business unit
get_contact_profile
Resolves interaction history and individual sentiment trends. Interacts with the customer lifecycle boundary. Get detailed profile and survey history for a contact
get_portfolio_nps_summary
Resolves global experience metrics. Touches the executive reporting boundary. Get an overall NPS summary across your entire account portfolio
get_response_details
Resolves verbatim comments, respondent metadata, and driver scores. Touches the granular feedback analytics boundary. Get full details for a specific survey response
list_account_contacts
Resolves contact identifiers and associated account links. Touches the CRM and relationship boundary. List contacts associated with your business accounts
list_b2b_accounts
Resolves account IDs, names, and organizational mappings. Touches the account management and segmentation boundary. List all business accounts managed in CustomerGauge
list_revenue_impact_data
Resolves monetary values and account associations for ROI calculation. Touches the financial data integration boundary. List revenue data associated with accounts for experience impact analysis
list_survey_responses
Resolves response IDs, scores (NPS), and timestamp data. Interacts with the survey response repository. List all customer survey responses in CustomerGauge
search_responses_by_keyword
Resolves feedback entries matching the query keyword. Touches the indexed text search boundary. Search through survey comments and feedback by keyword
Example Prompts for CustomerGauge in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with CustomerGauge immediately.
"List all survey responses received this morning."
"What is the current NPS for account 'Global Logistics'?"
"Search for feedback containing the word 'pricing'."
Troubleshooting CustomerGauge MCP Server with LangChain
Common issues when connecting CustomerGauge to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCustomerGauge + LangChain FAQ
Common questions about integrating CustomerGauge 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 CustomerGauge 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 CustomerGauge to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.