Chargebee MCP Server Integration

Connect your AI workflows with real-world billing data and subscription automation using the Chargebee MCP Server for FlowHunt.

Chargebee MCP Server Integration

What does “Chargebee” MCP Server do?

The Chargebee MCP (Model Context Protocol) Server is designed to connect AI assistants with external data sources, APIs, and services, streamlining the process of integrating real-world business workflows into AI-powered development environments. By acting as a bridge between AI clients and systems like databases, file storage, and SaaS tools, the Chargebee MCP Server enables tasks such as querying billing data, retrieving customer information, or automating subscription management. This integration empowers developers and business users to enhance productivity, automate routine operations, and deliver context-aware solutions directly within their development or operational workflows.

List of Prompts

No prompt templates found in the provided repository files.

List of Resources

No explicit MCP resources were documented in the available repository files.

List of Tools

No tools found in server.py or the available code files under the provided URL.

Use Cases of this MCP Server

No use cases were described in the repository or its documentation.

How to set it up

Windsurf

  1. Ensure prerequisites such as Node.js are installed on your system.
  2. Locate your Windsurf configuration file (e.g., windsurf.config.json).
  3. Add the Chargebee MCP Server to the mcpServers object as shown in the configuration example below.
  4. Save your configuration and restart Windsurf.
  5. Verify setup by checking the MCP server connectivity in Windsurf.
{
  "mcpServers": {
    "chargebee-mcp": {
      "command": "npx",
      "args": ["@chargebee/mcp-server@latest"]
    }
  }
}

Note: Secure your API keys using environment variables.
Example:

{
  "mcpServers": {
    "chargebee-mcp": {
      "command": "npx",
      "args": ["@chargebee/mcp-server@latest"],
      "env": {
        "CHARGEBEE_API_KEY": "${CHARGEBEE_API_KEY}"
      },
      "inputs": {
        "api_key": "${CHARGEBEE_API_KEY}"
      }
    }
  }
}

Claude

  1. Install prerequisites (Node.js, npm).
  2. Open Claude’s config file.
  3. Add the Chargebee MCP Server entry as shown below.
  4. Restart Claude.
  5. Confirm the MCP server is available in the Claude interface.
{
  "mcpServers": {
    "chargebee-mcp": {
      "command": "npx",
      "args": ["@chargebee/mcp-server@latest"]
    }
  }
}

Cursor

  1. Check for Node.js installation.
  2. Edit the Cursor configuration file.
  3. Insert the Chargebee MCP Server JSON config.
  4. Save changes and restart Cursor.
  5. Validate the MCP server integration.
{
  "mcpServers": {
    "chargebee-mcp": {
      "command": "npx",
      "args": ["@chargebee/mcp-server@latest"]
    }
  }
}

Cline

  1. Set up Node.js as a prerequisite.
  2. Locate and edit the Cline configuration.
  3. Add the Chargebee MCP Server configuration as shown.
  4. Save the file and restart Cline.
  5. Verify the MCP connection is established.
{
  "mcpServers": {
    "chargebee-mcp": {
      "command": "npx",
      "args": ["@chargebee/mcp-server@latest"]
    }
  }
}

Note: Secure API keys using environment variables as shown in the Windsurf section above.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

FlowHunt MCP flow

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "chargebee-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “chargebee-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.


Overview

SectionAvailabilityDetails/Notes
Overview
List of Prompts
List of Resources
List of Tools
Securing API Keys
Sampling Support (less important in evaluation)

I would rate this MCP server documentation and implementation a 2/10, as the repository provides almost no information about prompts, resources, tools, or use cases. Only generic configuration and integration instructions can be inferred.


MCP Score

Has a LICENSE
Has at least one tool
Number of Forks0
Number of Stars0

Frequently asked questions

What is the Chargebee MCP Server?

The Chargebee MCP Server acts as a bridge between FlowHunt AI agents and external business systems like billing platforms, making it easy to automate subscription management, retrieve customer information, and streamline billing workflows.

How do I secure my Chargebee API keys?

Store your Chargebee API keys using environment variables in your MCP server configuration. This ensures sensitive information is never exposed in code or logs.

What can I automate with the Chargebee MCP Server?

You can automate billing queries, subscription management, customer data retrieval, and integrate real-world business logic into your AI-powered workflows.

What are the prerequisites for setup?

You need Node.js installed and access to your configuration files for your chosen client (Windsurf, Claude, Cursor, or Cline).

Are there prompt templates or tools included?

No prompt templates or dedicated tools are currently included in the Chargebee MCP Server documentation. The integration focuses on connectivity and automation with external services.

Integrate Chargebee with FlowHunt AI

Supercharge your development and operational workflows by connecting FlowHunt to Chargebee. Automate billing, subscription management, and customer data retrieval directly from your AI flows.

Learn more