Our Think Tank Launches Founders OS, Open-Source MCP Server for AI-Powered Business Context
Key Takeaways
- ▸92 tools across 12 modules (CRM, tasks, projects, finance, playbooks, memory, feeds, dashboards, directory, audit trail, and utilities) accessible through a single MCP connection
- ▸Three-step setup process targeting non-technical users: create Supabase project, paste SQL schema, add MCP config block—no dashboards or complex integrations required
- ▸MIT licensed, perpetually free, with data stored in user-controlled Supabase instances, eliminating vendor lock-in and premium tiers
Summary
Our Think Tank has released Founders OS, an open-source Model Context Protocol (MCP) server designed to give AI assistants like Claude and Cursor direct access to business data and workflows. The toolkit eliminates the need for users to repeatedly explain company context to their AI—instead, it connects CRM, projects, tasks, finances, playbooks, and organizational memory through a single MCP connection.
Founders OS comprises 12 specialized modules totaling 92 tools covering customer relationship management, task and project management, financial ledger operations, RSS feed aggregation, semantic memory powered by pgvector, cross-domain dashboards, and comprehensive audit trails. The setup process is deliberately simplified: users deploy a Supabase project and add a single configuration block to their AI's settings, with step-by-step documentation written for non-technical users.
The project is MIT licensed with no premium tier, ensuring that all features remain free and users retain full control over their data stored in their own Supabase instance. The toolkit is compatible with any MCP-capable AI system and includes interactive walkthroughs to help users get started within minutes.
- Enables conversational AI interaction with business operations (e.g., 'Run the customer-onboarding playbook,' 'What's overdue?', 'Show me the P&L for last quarter')
Editorial Opinion
Founders OS represents a pragmatic shift in how AI tooling should work—moving from AI as a stateless question-answerer to AI as an informed business agent. By packaging 92 business-critical tools behind a clean conversational interface and an MIT license, Our Think Tank has created infrastructure that respects user autonomy and lowers barriers to AI adoption for founders and small teams. If the setup process truly is as friction-free as promised, this could accelerate adoption of MCP-based AI workflows in the SMB and founder community.
