CustomerGauge MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CustomerGauge as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 CustomerGauge. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in CustomerGauge?"
)
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 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.
LlamaIndex agents combine CustomerGauge tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 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 CustomerGauge to LlamaIndex via MCP
Follow these steps to integrate the CustomerGauge 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 10 tools from CustomerGauge
Why Use LlamaIndex with the CustomerGauge MCP Server
LlamaIndex provides unique advantages when paired with CustomerGauge through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CustomerGauge tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CustomerGauge tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CustomerGauge, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CustomerGauge tools were called, what data was returned, and how it influenced the final answer
CustomerGauge + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CustomerGauge MCP Server delivers measurable value.
Hybrid search: combine CustomerGauge real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CustomerGauge 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 CustomerGauge for fresh data
Analytical workflows: chain CustomerGauge queries with LlamaIndex's data connectors to build multi-source analytical reports
CustomerGauge MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect CustomerGauge to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting CustomerGauge to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCustomerGauge + LlamaIndex FAQ
Common questions about integrating CustomerGauge 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 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.
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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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.