StoryChief MCP lets AI agents securely interact with StoryChief data. MCP (Model Context Protocol) is a standard that allows AI tools to connect with third-party APIs in a secure, consistent way. In our case, it connects AI tools with StoryChief.
StoryChief MCP is a remote MCP server. It allows users with an individual plan or higher to connect their StoryChief account to supported AI tools.
See our StoryChief MCP use cases and prompt ideas for real examples and prompting tips to help you get the most from your MCP connection.
In this article:
1. MCP Connection URL
https://mcp.storychief.io/mcp
Most popular AI tools support connecting to the remote MCP directly. If you run into issues, check out our step-by-step setup guides:
a. Keys & Authorization
When you connect StoryChief MCP to an AI agent:
You’ll see an authorization consent screen.
Once approved, the connection will appear in your account with a dedicated API key (tagged with
MCPscope).
You can also:
2. Usage & Limits
Our MCP server is currently offered in beta. During this phase, usage limits are intentionally lightweight to allow flexibility, testing, and iteration as we learn from real-world use.
a. Rate Limits
To ensure platform stability and fair access for all users, the following limit is currently enforced:
10 requests per minute per client
This limit applies across all MCP endpoints and may be adjusted as we continue to optimize performance and reliability.
b. Fair Use
Beyond the rate limit above, there are no fixed quotas or hard usage caps at this time. However, we expect clients to use the service responsibly and in a way that does not negatively impact other users or system stability.
We reserve the right to temporarily restrict or throttle usage that appears abusive, excessively automated, or harmful to the service.
c. Future Changes
As we move out of beta, we may introduce additional limits such as:
Request or usage quotas
Tiered limits based on plans or use cases
More granular rate limiting per capability or endpoint
Any such changes will be communicated in advance when possible and reflected in this documentation.


