Can I list all my active subscriptions using my AI agent?

Yes! Use the `list_subscriptions` tool to retrieve a comprehensive list of all active and cancelled subscriptions in your account.

INSTANT PLUG AND PLAY

Recharge MCP Server for CrewAIGive CrewAI instant access to 11 tools to Cancel Subscription, Get Customer, Get Order, and more

Name: Recharge
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Recharge through Vinkius, pass the Edge URL in the `mcps` parameter and every Recharge tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The Recharge app connector for CrewAI is a standout in the Money Moves category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Recharge Specialist",
    goal="Help users interact with Recharge effectively",
    backstory=(
        "You are an expert at leveraging Recharge 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 Recharge "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

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

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* 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 Recharge MCP Server

Connect your Recharge account to any AI agent and simplify your subscription management and recurring billing workflows through natural conversation.

When paired with CrewAI, Recharge becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Recharge 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

Subscription Management — List all active and cancelled subscriptions, retrieve detailed metadata, and update parameters programmatically
Customer Database — Query your database of subscribers and retrieve detailed profile and billing info
Order Tracking — Monitor processed subscription orders and stay on top of your fulfillment pipeline
Financial Insights — Access processed charges and billing history to understand your recurring revenue
Direct Control — Modify subscription quantities and scheduled charge dates without manual dashboard navigation

The Recharge MCP Server exposes 11 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.

All 11 Recharge tools available for CrewAI

When CrewAI connects to Recharge through Vinkius, your AI agent gets direct access to every tool listed below — spanning subscriptions, recurring-billing, shopify-subscriptions, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

cancel_subscription

Cancel a subscription

get_customer

Get details for a specific customer

get_order

Get details for a specific order

get_subscription_details

Get details for a specific subscription

list_billing_charges

List billing charges

list_customers

List Recharge customers

list_products

List all subscription products

list_shipping_addresses

List customer addresses

list_subscription_orders

List processed orders

list_subscriptions

List Recharge subscriptions

update_subscription

Update an existing subscription

Connect Recharge to CrewAI via MCP

Follow these steps to wire Recharge into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 11 tools from Recharge

Why Use CrewAI with the Recharge MCP Server

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

Recharge + CrewAI Use Cases

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

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

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

Example Prompts for Recharge in CrewAI

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

"List all active subscriptions in Recharge."

"Show me all active subscriptions that are due for renewal in the next 7 days."

"Show me the churn analysis for the last 30 days with cancellation reasons."

Troubleshooting Recharge MCP Server with CrewAI

Common issues when connecting Recharge 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.

Recharge + CrewAI FAQ

Common questions about integrating Recharge 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.