KnoCommerce 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 KnoCommerce 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 KnoCommerce. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in KnoCommerce?"
)
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 KnoCommerce MCP Server
Connect your KnoCommerce data to your AI agent to unlock deep insights from your post-purchase surveys.
LlamaIndex agents combine KnoCommerce 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.
Key Features
- Survey Analysis — List and audit all active surveys to understand your feedback collection strategy
- Response Auditing — Drill down into individual customer responses to see exactly what your buyers are saying
- Customer Profiles — View feedback history associated with specific customer IDs to build a complete buyer profile
- Attribution Reporting — Access aggregated channel attribution data to see which marketing efforts are actually working
- Template Discovery — Browse available survey templates to quickly launch new feedback campaigns
Simple Setup
1. Get your API Key from the KnoCommerce dashboard
2. Configure the MCP server in your favorite client (Claude, Cursor, etc.)
3. Start querying your survey data using natural language
The KnoCommerce 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 KnoCommerce to LlamaIndex via MCP
Follow these steps to integrate the KnoCommerce 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 KnoCommerce
Why Use LlamaIndex with the KnoCommerce MCP Server
LlamaIndex provides unique advantages when paired with KnoCommerce through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine KnoCommerce tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain KnoCommerce tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query KnoCommerce, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what KnoCommerce tools were called, what data was returned, and how it influenced the final answer
KnoCommerce + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the KnoCommerce MCP Server delivers measurable value.
Hybrid search: combine KnoCommerce real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query KnoCommerce 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 KnoCommerce for fresh data
Analytical workflows: chain KnoCommerce queries with LlamaIndex's data connectors to build multi-source analytical reports
KnoCommerce MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect KnoCommerce to LlamaIndex via MCP:
check_knocommerce_api_status
Check the status of the KnoCommerce API integration
get_channel_attribution_report
This is essential for understanding which marketing channels are driving customer acquisition. Get the latest channel attribution report
get_customer_feedback_profile
Get details for a specific customer feedback profile
get_response_details
Get details for a specific customer response
get_survey_details
Returns survey title, status, and high-level configuration. Get details for a specific survey
list_knocommerce_customers
Useful for correlating feedback with specific buyer profiles. List customers associated with survey data
list_survey_questions
Use this to understand the data structure of the responses. List all questions in a specific survey
list_survey_responses
You can optionally filter by survey_id to see feedback from a specific post-purchase interaction. List responses for surveys
list_survey_templates
List available survey templates
list_surveys
Use this to identify survey IDs for analyzing specific campaigns or response sets. List all KnoCommerce surveys
Example Prompts for KnoCommerce in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with KnoCommerce immediately.
"List all active surveys in my KnoCommerce account"
"Show me the latest responses for survey 'kc_123'"
"Give me a channel attribution report"
Troubleshooting KnoCommerce MCP Server with LlamaIndex
Common issues when connecting KnoCommerce to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKnoCommerce + LlamaIndex FAQ
Common questions about integrating KnoCommerce 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 KnoCommerce 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 KnoCommerce to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.