Vision & Progress

Product Roadmap & Future Direction

Our mission is to become the universal orchestration layer connecting legacy systems with the AI-driven future — enabling safe, autonomous, and scalable innovation.

As AI agents redefine how applications interact with data, FEBE bridges the gap between traditional backends and intelligent automation.

Upcoming Release Highlights

MCP Protocol Integration – Making APIs LLM-Ready

Expose FEBE-generated REST & GraphQL APIs directly to Large Language Models via Model Context Protocol for structured querying and mutation.

Agentic Framework Layer on MCP

Enable AI agents to chain APIs, maintain dynamic context and execute backend workflows autonomously with policy controls.

Integrated API Gateway

Rate limiting, authentication, monitoring, analytics and lifecycle governance for all FEBE endpoints.

Evolution Phases

1

Current

Low-Code / No-Code API Development – simplify and automate REST/GraphQL backend creation.

2

Next

MCP-Enabled APIs – make FEBE APIs LLM-compatible and accessible to AI models.

3

Future

Agentic Framework Integration – autonomous agents interact with FEBE APIs securely and contextually.

4

Enterprise Ready

API Gateway – centralized governance, monitoring & security for all endpoints.

Timeline

Q1
Q1 2026

MCP Protocol Integration

LLM-accessible API support for FEBE-generated endpoints.

Q2
Q2 2026

Agentic Framework Layer

Enable autonomous AI agents to operate on FEBE APIs.

Q3
Q3 2026

API Gateway Release

Security, observability, traffic management.

Q4
Q4 2026

Full AI Integration Suite

Connect FEBE APIs to external agent ecosystems & AI platforms.

Our Vision

Our aim is to become the core orchestration layer between established backend systems and the AI-powered application era—safely exposing internal services to AI, enabling autonomous agent workflows and scaling innovation without rewrites.

Roadmap subject to change. Your feedback influences prioritization.

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