Developers
We don't just use AI. We deploy on AI surfaces.
HelpYouServe ships everywhere AI lives. REST API for traditional integrations. MCP server for AI agents. ChatGPT and Claude apps for teams already in those workflows. Mobile apps for donors and staff in the field. All running on the same integrated data graph — so an ask drafted in Claude shows up in the ChatGPT history shows up in the audit log shows up in the development director's queue.
Surfaces we ship on
Six surfaces, one data graph. Whatever your team is using — ChatGPT, Claude, the mobile app, your own integration — it's reading and writing the same record.
REST API
Full read/write access to donors, gifts, sponsorships, trips, campaigns, and engagement. Token auth. Webhook events. Idempotency keys. Rate-limited fairly.
API Reference →MCP Server
Model Context Protocol server exposes the data graph to AI agents — Claude, ChatGPT, custom assistants. Cite-on-action governance baked in. The same substrate the AI Development Director runs on.
See the architecture →ChatGPT app
Bring HelpYouServe into ChatGPT. Ask about a donor, draft an ask, surface segments — grounded in your live data, not a stale export.
See integrations →Claude app
Same surface in Claude. Cultivation drafting, donor lookups, trip rosters — with citations. Built for development teams already in the AI workflow.
See integrations →Mobile apps
Donor-facing self-service portal and staff field app on iOS and Android. Real-time sync to the same data graph the web app uses.
Donor portal →Webhooks + integrations
30+ pre-built integrations (Stripe, QuickBooks, Mailgun, Checkr, Dropbox Sign, Sendblue, and more) plus webhook events for everything the platform does.
All integrations →API principles
One data graph, one identifier, one audit log — across every API surface
Cite-on-action governance — AI surfaces ground every response in the underlying records
Webhook-first — push, don't poll
Idempotency keys on every mutation
Token auth with scopes; OAuth for third-party apps
Rate-limited fairly — generous for production traffic, transparent on limits
Build on the platform
Read the API reference, explore the integrations, or book a demo to see the MCP server and AI surface apps live.