Can I record a new usage event for a customer?

Yes! Use the `add_cheddar_charge` tool with the customer code, charge code (tracked item), and quantity. The agent will record the usage in Cheddar immediately.

How do I see the billing history for a specific person?

Use the `get_cheddar_customer_details` tool with the unique customer code. Your agent will fetch the full record, including active plans, status, and associated invoices.

Where do I find my Product Secret and Product Code?

Log in to your Cheddar dashboard and look for 'Product Settings'. You can view and copy your unique Product Code and generate a Secret Key from there.

Cheddar MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: Cheddar
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Cheddar through Vinkius, pass the Edge URL in the `mcps` parameter and every Cheddar 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

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Cheddar Specialist",
    goal="Help users interact with Cheddar effectively",
    backstory=(
        "You are an expert at leveraging Cheddar 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 Cheddar "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

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

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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 Cheddar MCP Server

Connect your Cheddar (formerly CheddarGetter) account to any AI agent and take full control of your recurring and usage-based billing through natural conversation. Streamline how you manage subscriptions and tracked items.

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

What you can do

Customer Oversight — List and retrieve details for all active and inactive customers natively
Plan Management — Access and monitor available pricing plans and their configurations flawlessly
Usage Tracking — Add one-time or quantity-based charges to customer accounts securely
Invoice Intelligence — List and retrieve details for recent customer invoices and billing history flawlessly
Transaction Auditing — Access and monitor all billing transactions and payment statuses securely
Product Analytics — Retrieve core product information, configuration metadata, and active promotions flawlessly

The Cheddar MCP Server exposes 8 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 Cheddar to CrewAI via MCP

Follow these steps to integrate the Cheddar 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 8 tools from Cheddar

Why Use CrewAI with the Cheddar MCP Server

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

Cheddar + CrewAI Use Cases

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

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

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

Cheddar MCP Tools for CrewAI (8)

These 8 tools become available when you connect Cheddar to CrewAI via MCP:

add_cheddar_charge

Add a one-time or quantity-based charge to a customer

get_cheddar_customer_details

Get detailed information for a specific customer

get_cheddar_product_info

Retrieve core product and configuration information

list_cheddar_customers

List all customers for the product

list_cheddar_invoices

List recent customer invoices

list_cheddar_plans

List all available pricing plans

list_cheddar_promotions

List active promotions and coupons

list_cheddar_transactions

List recent billing transactions

Example Prompts for Cheddar in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Cheddar immediately.

"Show me the last 5 invoices in Cheddar."

"Add 10 units of usage for customer 'ACME-123' under charge code 'API_CALLS'."

"List all my available pricing plans in Cheddar."

Troubleshooting Cheddar MCP Server with CrewAI

Common issues when connecting Cheddar 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.

Cheddar + CrewAI FAQ

Common questions about integrating Cheddar 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.