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MCP server · Documentation

Bayesbelief

Privacy-preserving hierarchical Bayes for multi-tenant fleets: empirical-Bayes partial pooling, cold-start mitigation, zero-dependency TypeScript.

34Low

Scored a month ago · breakdown

About Bayesbelief

Bayesbelief is an MCP server published by davccavalcante in the Documentation category: privacy-preserving hierarchical Bayes for multi-tenant fleets: empirical-Bayes partial pooling, cold-start mitigation, zero-dependency TypeScript.

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/bayesbelief

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/bayesbelief@1.0.0 · 24 Jun 2026STATUS: PUBLISHED ON NPMJS.** This version was published to the npm registry on 2026-06-24T03:05:20Z with provenance attestation. View on npm: https://www.npmjs.com/package/@takk/bayesbelief/v/1.0.0 STATUS: REVIEW REQUIRED, NOT YET ON…
Questions

About Bayesbelief

How do I install Bayesbelief?

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

Is Bayesbelief 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 Bayesbelief 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.