MCP Bridge by Appfactor

AppFactor works by deploying a multi-agent orchestration layer that sits across your entire stack — codebase, dependencies, infrastructure, and architecture — and runs parallel agent workflows to handle the maintenance and modernization work your engineers keep deprioritizing. It's not a copilot that waits for prompts. You assign objectives, and the platform orchestrates the discovery, coding, testing, and deployment autonomously, with human-in-the-loop checkpoints where you want them.

The underlying mechanic is model-agnostic: you can point AppFactor at OpenAI, Anthropic, Google, open-source models, or local models depending on your compliance requirements. What differentiates it from a generic AI coding assistant is the 'context-confidence' layer — native awareness of your full codebase, dependency graph, infra topology, and architecture. That context is what lets it do things like idiomatic rewrites to Rust, not just find-and-replace refactors. AppFactor claims 80%+ cost savings and up to 90% performance gains on cloud-native rewrites, though those figures will depend heavily on your starting point.

The platform targets engineering teams that are stuck on the maintenance treadmill — dependency backlogs, security vulnerabilities, tech debt that never gets cleared because the next feature always wins. It's positioned as an 'agentic engineering team' you can delegate to, not a tool you have to babysit. Enterprise features include SSO + SAML, dedicated compute, and compliance controls, which signals this is aimed at mid-market and enterprise buyers rather than solo developers.