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MCP server · Agents

Bayesconsensus

Dawid-Skene consensus for multi-agent and multi-LLM disagreement: learn each agent's reliability and the true answer with calibrated confidence. Zero dependencies, node-free, TypeScript-first.

34Low

Scored 13 days ago · breakdown

About Bayesconsensus

Bayesconsensus is an MCP server published by davccavalcante in the Agents category: dawid-Skene consensus for multi-agent and multi-LLM disagreement: learn each agent's reliability and the true answer with calibrated confidence. Zero dependencies, node-free, TypeScript-first.

The repository has 1 stars and 0 forks, with the last commit 3 months ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/davccavalcante/bayesconsensus

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

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Releases

v1.0.0[PUBLISHED ON NPMJS] @takk/bayesconsensus@1.0.0 · 24 Jun 2026STATUS: PUBLISHED ON NPMJS.** This version was published to the npm registry on 2026-06-24T11:34:57Z with provenance attestation. View on npm: https://www.npmjs.com/package/@takk/bayesconsensus/v/1.0.0 STATUS: REVIEW REQUIRED, NOT YET ON…
Questions

About Bayesconsensus

How do I install Bayesconsensus?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Bayesconsensus safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Bayesconsensus still maintained?

Yes — the latest release is v1.0.0 (24 Jun 2026), and the last commit was 3 months ago. The repository has 1 stars.