Open-source MCP server for multi-model software engineering orchestration
OrchestrAI is an open-source MCP orchestration layer that exposes a single Model Context Protocol server to route software engineering tasks across the best available AI models — Anthropic, OpenAI, Gemini, and local models via Ollama or vLLM — automatically assigning each role (Planner, Coder, Tester, Reviewer, Judge) to the model most capable of handling it. It integrates lint, test, and type-check runners to verify outputs, and supports hybrid local/cloud workflows with a comprehensive trace and artifact system for provenance. It offers various orchestration modes like `planner_coder_reviewer`, `parallel_draft`, and `impl_tester`, along with privacy tiers (`secret`, `confidential`, `internal`, `public`) for data locality.
For solopreneurs building a SaaS MVP, OrchestrAI enables rapid development by orchestrating multiple AI models for coding, architecture, and testing. Example: A solopreneur uses OrchestrAI to generate a full-stack application with authentication and a Stripe integration in under a week, significantly reducing time to market.
For students learning full-stack development, OrchestrAI provides a structured environment to experiment with complex features and understand AI-assisted coding. Example: A student uses OrchestrAI to build a personal portfolio website, with Gemini suggesting architectural patterns and Codex generating React components, accelerating their learning curve.
For small dev teams, OrchestrAI facilitates parallel development and code quality assurance across different AI models. Example: A team uses OrchestrAI to simultaneously develop a new API endpoint and its corresponding frontend integration, with GPT-4 performing security reviews and linting ensuring code consistency.
For freelancers integrating AI into client projects, OrchestrAI offers a robust framework for leveraging multiple LLMs to deliver high-quality, production-ready code. Example: A freelancer uses OrchestrAI to build a custom data processing pipeline for a client, with Claude handling core logic and Gemini optimizing performance, delivering a solution faster than manual coding.
OrchestrAI has a one-time flat fee of €20,000. This fee covers the deployment of the AI Operating System on your infrastructure, agent generation capabilities, fleet monitoring, auto-improvement features, and team training. The pricing is flat regardless of the volume of agents or campaigns run.
OrchestrAI is not a free service. It operates on a one-time flat fee of €20,000 for deployment and includes comprehensive features and support. There is no free tier or trial period mentioned for the OrchestrAI platform itself.
OrchestrAI is designed with security and privacy in mind, operating on your infrastructure to keep data on your servers. The company adheres to recognized frameworks like ISO 27001/27701 and NIST 800-53/61, and complies with GDPR and CCPA/CPRA. Customer content is not used to train shared foundation models.
Relevance AI is presented as an alternative to OrchestrAI, offering a no-code SaaS platform for building AI agents. While Relevance AI excels at initial testing and smaller deployments (1-10 agents), OrchestrAI is positioned for larger-scale deployments (20-300 agents) with a focus on self-hosting and fleet orchestration.
Choose OrchestrAI if you need to deploy 20+ agents, require data sovereignty, want fleet coordination, or prefer self-hosting with predictable flat pricing. Choose Relevance AI for proof-of-concept, deploying 1-10 agents, if SaaS is acceptable, and if you need a user-friendly drag-and-drop interface with pre-built templates.
OrchestrAI is deployed on your existing infrastructure, which can include platforms like Make.com or n8n. It is not offered as a standalone mobile, web, or desktop application in the traditional SaaS sense. The system integrates with your current tools and workflows.
OrchestrAI is deployed on your existing infrastructure by the OrchestrAI team. This process includes the OS deployment, agent generation capability setup, fleet monitoring, auto-improvement configuration, and team training. After an initial setup and training period, your team can manage it autonomously.
We're still verifying the official pricing for OrchestrAI. In the meantime, the most up-to-date plans and prices are available directly on the publisher's website.
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