Orchestrate AI with Betty Blocks
Give AI assistants access to your business data and workflows. Betty Blocks MCP Server connects AI clients like Claude, Copilot, and ChatGPT to your applications - configured through the platform's visual interface, no custom integration code required.
AI without context is limited
Current AI assistants like ChatGPT and Claude are powerful for ideation but remain trapped outside your business context. Without deep integration into your live data and workflows, they rely on manual, outdated inputs and lack the power to execute real-world actions. The result? They stay “interesting assistants” instead of becoming true operational capabilities.
Isolated from core systems
AI has no access to your ERP, CRM, databases, or business applications. Context is limited to what you paste into prompts.
Manual & Outdated
Users copy data from dashboards and systems into prompts. Takes time, is prone to human errors, and can lead to bad data.
No Governance or execution
Standalone AI tools lack permissions and audit trails, and can’t trigger workflows or execute actions in your systems.
AI hallucination risk
Without access to verified, real-time business data, AI may produce convincing but incorrect or outdated answers.
Why choose BB MCP for data integration
Betty Blocks MCP server acts as the governed orchestration layer between AI models and your enterprise systems. Built on low-code, it empowers you to define AI context, tools, and workflows visually - without writing complex integration code. MCP servers are built as exportable actions, ensuring you retain ownership and avoid vendor lock-in.
Context made easy
Give AI access to your business data and workflows via Betty Blocks application layer. No API development needed.
Connect in 3 easy steps
Connect an MCP Server to your Betty Blocks application and bring AI into your business environment. Securely link Claude, Copilot, or ChatGPT to your data and workflows through the visual low-code interface - no custom integrations required.
Step 1
Connect your Betty Blocks project to the MCP Server and make it AI-ready in just a few steps - no custom code required.
Step 2
Connect your AI to your Betty Blocks project and give it secure, real-time access to your data and workflows.
Step 3
Integrate AI directly into your workflows so it can access data, trigger actions, and support users in real time. With governed access and visual configuration, AI becomes a built-in capability of your application - not just an external assistant.
