If you want to use Bigmind data in another system, the supported paths are the Bigmind API, MCP, and webhooks. Which one to use depends on whether you want to pull data on demand, let an AI client work with Bigmind context, or receive events as they happen.
#Choose the right path
| Use case | Use | Developer docs |
|---|---|---|
| Fetch Bigmind data from your app, script, internal tool, or backend service. | API | API keys |
| Connect Bigmind to Cursor, Claude, ChatGPT, or another MCP-compatible AI client. | MCP | MCP overview |
| Trigger your system when something changes or an event occurs in Bigmind. | Webhooks | Webhook setup |
#API
Use the API when your system needs to request Bigmind data directly. This is the best fit for internal dashboards, backend jobs, reporting scripts, custom integrations, and workflows where your system controls when data is read or written.
Start with API keys to create credentials and authenticate requests.
#MCP
Use MCP when you want an AI client to work with Bigmind through approved tools. MCP lets compatible clients act as the signed-in user inside a selected workspace, using the same permissions and visibility rules as Bigmind.
Start with the MCP overview or the MCP quick start.
#Webhooks
Use webhooks when your system needs to react to Bigmind events in real time. Instead of polling for changes, your application receives HTTP requests when configured events happen.
Start with webhook setup and review webhook events for available event types.
#Common patterns
- Internal reporting: Use the API to fetch the data your reporting job needs.
- AI workflows: Use MCP so an AI client can search, inspect, and act on Bigmind data with user permissions.
- Event-driven automation: Use webhooks to notify your system when a meeting, workflow, or other supported event occurs.
- Hybrid integrations: Use webhooks to detect that something changed, then call the API to fetch the current details.
#Security
- Create API keys only for systems that need programmatic access.
- Store API keys and webhook secrets in a secure secret manager.
- Review user permissions before connecting external AI clients through MCP.
- Consult your legal and compliance team before sending Bigmind data to external systems.