HrishiKabra/voting-mcp

MCP server exposing principled social-choice aggregation rules + a benchmark measuring their accuracy vs majority vote over an LLM ensemble

This repository also configures its own agents. See what voting-mcp tells them →

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voting-mcp

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HrishiKabra/voting-mcp

MCP server Claude CodeCodexCursor +2

MCP server exposing principled social-choice aggregation rules (Borda, Copeland, Condorcet, approval, STV, opinion pool), with a reproducible benchmark measuring their accuracy vs majority vote over an LLM ensemble. Runs locally from the voting-mcp Python package.

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