Platform / UI, API, MCP
UI, API, MCP. Control Dataddo the Way Your Teams Work.
Not every team operates the same way. A business analyst provisioning a new data source and a platform engineer deploying thousands of pipelines need very different interfaces. Dataddo provides all three, backed by the same governance, RBAC, and audit layer.
Build and monitor pipelines without writing a line of code.
An intuitive web interface that makes provisioning sources, configuring destinations, and monitoring pipelines accessible to anyone on the team - no deep technical expertise required. Business analysts and data teams self-serve end to end, from connecting a new data source to watching flows run in production, without filing tickets to engineering. Every click is backed by the same RBAC, audit, and governance layer as every other interface, so self-service never means losing control.
Designed for: Business analysts and data teams who want to build and monitor pipelines without writing code.
Best for: Self-service pipeline setup, monitoring, and fast proofs of concept.
- Point-and-click configuration of sources, destinations, and flows
- Guided setup across 400+ managed connectors, plus a universal JSON connector
- Data preview and schema mapping before a pipeline goes live
- Real-time pipeline monitoring, run history, and failure alerting
- Role-based access control and a full audit trail on every action
- Self-service management of credentials and connections
- Reusable templates to stand up new pipelines in minutes
Manage thousands of pipelines as code, deterministically.
A fully documented REST API for programmatic control over every part of Dataddo. Automate pipeline provisioning, embed Dataddo into internal developer portals, or integrate it with your existing orchestration and CI/CD tooling. The API is deterministic by design - scheduled syncs run exactly as configured - so platform teams can operate pipelines at scale with predictable, repeatable behavior instead of one-off manual setup.
Designed for: Developers and platform teams automating Dataddo programmatically.
Best for: Embedding Dataddo in internal portals, provisioning pipelines at scale, and CI/CD.
- Full programmatic control over sources, destinations, flows, and schedules
- Deterministic, scheduled syncs that run exactly as configured
- Token-based authentication with scoped access
- Manage thousands of pipelines as code, versioned in your own repo
- Programmatic monitoring, status, and run-history endpoints
- Embed provisioning into internal developer portals
- Integrate with existing orchestration and CI/CD workflows
Let AI agents drive Dataddo over a native protocol.
A native Model Context Protocol server that lets AI agents provision pipelines and query governed data in context - currently in beta. It works with Claude, ChatGPT, Cursor, LangChain, and LlamaIndex out of the box, all talking to the same governed backend over a native protocol. Deterministic by default, agent-driven when you need it: agents operate under the same RBAC and audit layer as every human user, so nothing they do escapes governance.
Designed for: AI agents and assistants - Claude, ChatGPT, Cursor, LangChain, LlamaIndex.
Best for: Letting agents provision pipelines and query governed data in context, over a native protocol.
- Native Model Context Protocol server (currently in beta)
- Works out of the box with Claude, ChatGPT, Cursor, LangChain, and LlamaIndex
- Agents provision pipelines and query governed data in context
- Direct retrieval of recent data from SmartCache - no warehouse to stand up
- Deterministic by default, agent-driven when you need it
- Same RBAC and audit layer as every other interface
Control Dataddo Your Way
See the interface that fits your team. Book a walkthrough with one of our engineers.