Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Multi-LLM deliberation with anonymized peer review. Runs a 3-stage council: parallel responses → anonymous ranking → synthesis. Based on Andrej Karpathy's LLM Council concept.
MCP server for TaskBounty. AI agents fix GitHub bugs (every fix ships with a regression test) and raise test coverage on your codebase. Posters draft and fund bounties from chat (Stripe Checkout); solvers submit PRs verified end-to-end in a sandbox. Paid in USDC, ETH, or BTC. 11 tools.