Key features: - Context passing to each agent (full file, summary, or grep mode) - Smart timeout selection based on MCP servers requested - Cross-platform (macOS, Linux, Windows) - Headless & programmatic — designed for AI-to-AI orchestration
Example: give one prompt like "research job openings at Stripe, Google, and Meta" — the orchestrator fans it out to 3 parallel agents, each with their own MCP servers (e.g., Playwright for browser), and aggregates results.
Install: npm i @ask149/mcp-orchestrator
This is a solo side project. Would love feedback on: - What CLI backends to support next (Aider, Open Interpreter, local LLM CLIs?) - Ideas for improving the context-passing system - What MCP server integrations would be most useful
PRs and issues welcome — check CONTRIBUTING.md in the repo.