Patreon MCP Server
An MCP server that provides AI assistants with access to Patreon creator data, supports MCP - compatible clients such as Claude and Cursor, can read campaign, membership, post, etc. information, focuses on privacy protection, and only supports read - only operations.
rating : 2 points
downloads : 6.2K
What is Patreon MCP Server?
Patreon MCP Server is a bridge that connects AI assistants with Patreon creator data. It allows you to directly query and manage your Patreon campaign data, including membership information, posts, revenue statistics, etc., through AI tools such as Claude and Cursor, without manually logging in to the Patreon website.How to use Patreon MCP Server?
The usage process consists of three simple steps: 1) Obtain a Patreon developer access token; 2) Configure the server in the AI client; 3) Start querying your Patreon data through natural language. The whole process is secure and does not require programming knowledge.Use cases
Suitable for Patreon creators who need to perform daily management tasks such as quickly checking membership status, analyzing revenue trends, managing post content, understanding membership tier distribution, and tracking payment status. It is especially suitable for content creators who need to frequently interact with membership data.Main features
Comprehensive data access
Securely access your Patreon campaign, membership, post, and tier data, including key information such as membership status, payment information, and post content.
Privacy - focused design
The design fully considers privacy protection. It does not request member email addresses, does not access creators' private notes, and only reads necessary data.
Multi - client compatibility
Supports all major MCP clients, including Claude Desktop, Claude Code, Cursor, Windsurf, VS Code Copilot, etc.
Intelligent pagination system
The membership and post lists support paginated queries, returning a reasonable amount of data each time to ensure query efficiency and data integrity.
Secure read - only mode
The current version is in read - only mode to ensure data security and prevent accidental modification. Write functions may be added in the future according to requirements.
Advantages
Query Patreon data through natural language without programming knowledge
Seamlessly integrate with existing AI workflows to improve creative efficiency
Privacy - focused design, does not collect sensitive information
Simple configuration, can start using within a few minutes
Open - source project, transparent and trustworthy, with community support
Limitations
Currently only supports read operations, cannot create or modify content
Requires a Patreon creator access token, and the acquisition process requires developer permissions
The AI provider will process the query data, so pay attention to the data privacy policy
Only supports Python 3.11+ environment and requires the uv package manager
How to use
Obtain an access token
Visit the Patreon developer portal, register as a developer, and obtain your creator access token. This token can only access your own campaign data.
Configure the AI client
According to the AI client you are using, add the Patreon MCP Server to the configuration file. You need to provide the access token as an environment variable.
Install dependencies
Clone the project repository and use the uv package manager to install Python dependencies. Make sure your system has Python 3.11 or a higher version installed.
Start the server
Set the environment variables and start the MCP server. The server will run in the background, waiting for connection requests from the AI client.
Start querying
In the AI assistant interface, use natural language to query your Patreon data. The server will process the request and return formatted results.
Usage examples
Membership analysis
Quickly understand your membership composition and payment status, and identify high - value supporters and members who need attention.
Content management
View and manage published posts, and understand the distribution of paid and public content.
Revenue monitoring
Monitor the membership distribution and revenue situation of each tier, and understand which tiers are the most popular.
Payment problem troubleshooting
Identify members with payment failures and follow up in a timely manner to ensure stable revenue.
Frequently Asked Questions
Do I need to be a programmer to use this server?
Is my Patreon data secure?
Which AI clients are supported?
Can I create new posts or modify content?
Is it complicated to obtain an access token?
Will the data be updated in real - time?
Do I need to pay to use it?
How can I get help if I encounter problems?
Related resources
GitHub repository
Project source code, issue tracking, and contribution guidelines
Patreon developer portal
The official platform to obtain the creator access token
MCP protocol official website
Official documentation and specifications for the Model Context Protocol
uv package manager
Installation and usage guide for the Python package manager required by the project
Support the developer
If you find this project useful, you can consider supporting the developer's Patreon page
MIT license
Details of the open - source license used by the project

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