Where do I find my KnoCommerce API Key?

Log in to your KnoCommerce dashboard and navigate to **Settings** > **API Keys**. You can generate a new REST API key there.

Can I see the individual questions of a survey?

Yes, use the `list_survey_questions` tool with the specific `survey_id` to retrieve all questions and their configuration.

Does this support creating new surveys?

The current version focus on data retrieval and analysis. You can list templates, but survey creation should be done in the KnoCommerce dashboard.

KnoCommerce MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: KnoCommerce
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to KnoCommerce through Vinkius, pass the Edge URL in the `mcps` parameter and every KnoCommerce 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="KnoCommerce Specialist",
    goal="Help users interact with KnoCommerce effectively",
    backstory=(
        "You are an expert at leveraging KnoCommerce 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 KnoCommerce "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 KnoCommerce MCP Server

Connect your KnoCommerce data to your AI agent to unlock deep insights from your post-purchase surveys.

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

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 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 KnoCommerce to CrewAI via MCP

Follow these steps to integrate the KnoCommerce 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 10 tools from KnoCommerce

Why Use CrewAI with the KnoCommerce MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with KnoCommerce 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 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

KnoCommerce + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries KnoCommerce 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 KnoCommerce, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain KnoCommerce 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 KnoCommerce against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

KnoCommerce MCP Tools for CrewAI (10)

These 10 tools become available when you connect KnoCommerce to CrewAI 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 CrewAI

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

Common issues when connecting KnoCommerce 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

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

KnoCommerce + CrewAI FAQ

Common questions about integrating KnoCommerce 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.