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Engineering August 12, 2026

Leveling Up Your Agentic Stack: MCP and Base44 Integration

How to bridge the gap between local development and production-grade AI infrastructure using the latest MCP support in Base44.

Leveling Up Your Agentic Stack: MCP and Base44 Integration

Bridging the Gap

Speed is the only currency that matters in the current market. If you are building AI agents, you know the frustration: local prototyping is easy, but getting those agents to talk to your live production data—with secure auth, RLS, and actual business logic—is where the friction hits. With our latest update, we’ve bridged that gap by integrating Model Context Protocol (MCP) directly into the Base44 ecosystem.

Why MCP Matters for Base44

Base44 isn't just a wrapper; it’s a full-stack engine. You’re already leveraging our managed backend, entity CRUD, and pre-built integrations like InvokeLLM or our deep suite of OAuth connectors for Notion, Slack, and Stripe.

By bringing MCP into the mix, you can now expose your Base44 backend functions and entity definitions directly to your local development workflows. You can query your base44.entities or trigger InvokeLLM processes as if they were local tools, without sacrificing the security of your production environment.

The Technical Shift

Previously, your agentic workflows lived either entirely in the cloud or required brittle custom API shims. Now, you can point your IDE or agentic runner to our MCP server implementation.

  • Direct Entity Access: Use your typed JSON schemas to provide context-aware data models to your agents.
  • Connector Pass-through: Your agents can now tap into our 50+ app connectors—Jira, Linear, GitHub—via your existing Base44 auth layer, keeping Row-Level Security (RLS) intact.
  • Workflow Triggers: Bridge your local agent actions with our native workflows (cron, webhooks, or entity events) to ensure that what you build in development survives in production.

Build Faster, Ship Further

Stop rebuilding the plumbing. Whether you are scaling an internal Superagent or deploying a customer-facing AI dashboard, the goal remains the same: define the business logic in Base44, expose it through the protocol, and let your agents handle the heavy lifting.

If you’re already using React, Tailwind, and our @/api/base44Client SDK, this is the missing piece to unify your local testing and live deployment.

Stop shipping prototypes. Start shipping autonomous systems. Go to your dashboard, enable the MCP settings, and plug your agents into your live data today.