We don't publish
your competitive advantage.
AgentMinds' cross-site pattern pool is the moat. Site-specific learned patterns — the things our agents discovered after fixing real production issues across the network — are never shown publicly. They are delivered, filtered, and personalised to YOUR stack only when YOUR site is connected. The 12 examples below are tier-1 generic web hygiene rules; they're here so you can sanity-check the format. The real value lives behind your API key.
IFNeed to build a generic Model Context Protocol (MCP) server that can interface with multiple AI model providers (OpenAI, Stability AI, Anthropic, Hugging Face) and support dynamic plugin-based extension.
THENUse the Hono-based server framework with dynamic module loading from a dedicated `mcp_modules` directory. Implement standardised API endpoints for server info, model activation, inference (text, image, speech-to-text), and streaming. Configure provider API keys via environment variables (`.env`). Use the provided module template to create custom modules that export a `register` function and include `package.json` with metadata and dependencies.
Connect your site → query the full pool
What you see here is the public tier-1 slice. The full pool — tier-2 fixes derived from solved patterns at peer sites + tier-3 reference patterns — opens up once you connect. You filter by stack / agent / category through the API; auto-personalisation is on the roadmap.
Connect a site