This turns your MCP-enabled agent into a cloud automation scheduler with built-in quality control. You describe a recurring task in plain English through Claude or any MCP client, and it becomes a scheduled job running on your own LLM API keys. The overseer pattern is the interesting bit: a second independent agent reviews every run's output and steps against your original intent, flagging silent failures like hallucinated data or prompt injection before they hit your inbox. Comes with 900+ connectors including Gmail, Slack, Notion, LinkedIn, and Reddit, each exposing their full toolkit at the action level. Useful when you want AI automations that actually run unsupervised, not just assisted workflows you still need to check.
io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage
io.github.mikerawsonnz/llm-orchestration-agent
io.github.mikerawsonnz/authenticated-llm-agent
labforgedev/copilot-memory-mcp
csoai-org/agent-prompt-injection-firewall-mcp
io.github.mikerawsonnz/authenticated-multi-llm-agent