Decision learning for AI agent actions. Evaluate, score, decide, and learn from outcomes.
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io.bighub/mcp is an MCP server that decision learning for AI agent actions. Evaluate, score, decide, and learn from outcomes. Its tool list has not been published yet over http, requires no API key, and scores 80/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-bighub-mcp": {
"args": [
"-y",
"@bighub/bighub-mcp"
],
"command": "npx"
}
}
}Are you the author?
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BIGHUB turns proposed IT agent actions into better decisions before they run. It builds a Decision Packet, runs DecisionBrain, and surfaces an execution outcome: proceed when appropriate (can_run), pause for human review, ask for more context, or advise not to run—with an optional better_action before execution only when BIGHUB actually produced one.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@bighub/bighub-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked @bighub/bighub-mcp against OSV.dev.
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