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.
IFAfter installing MCP servers with a virtual environment, you get ModuleNotFoundError even though dependencies appear installed.
THENDelete the virtual environment and recreate it from scratch, then reinstall dependencies. This resolves conflicts or corruption in the venv.
IFNeed to set up MCPJungle quickly to unify MCP servers for local development.
THENUse Docker Compose to start the MCPJungle server: download docker-compose.yaml and run 'docker compose up -d'. Install the CLI via Homebrew or from releases, then register a remote MCP server with 'mcpjungle register --name <name> --url <http-mcp-url>'. Finally, configure your AI client to connect to http://site_1:8080/mcp using the mcp-remote tool.
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