Is the jev-decisions-hermes MCP server actively maintained?

The jev-decisions-hermes MCP server was last committed today and has 1 contributor. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

jev-decisions-hermes MCP Server

Name: bojansandhaus/jev-decisions-hermes
Rating: 3.3 (1 reviews)
Author: bojansandhaus

bojansandhaus/jev-decisions-hermes

Score: 56.7 Rank #7222 MCP Server

[![AgentRank](https://agentrank-ai.com/api/v1/badge/bojansandhaus--jev-decisions-hermes)](https://agentrank-ai.com/tool/bojansandhaus--jev-decisions-hermes/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

Are you the maintainer of bojansandhaus/jev-decisions-hermes? Claim this listing →

Jev Decisions Plugin for Hermes (and other AI Agents): tool risk reviews, human approval recommendations, evidence checks, a local decision journal, local decision supervision, and learned corrections.

Add AgentRank to Claude Code Discover and compare tools like bojansandhaus/jev-decisions-hermes — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

bojansandhaus/jev-decisions-hermes is a Python agent tool licensed under MIT. Jev Decisions Plugin for Hermes (and other AI Agents): tool risk reviews, human approval recommendations, evidence checks, a local decision journal, local decision supervision, and learned corrections.

Ranked #7222 out of 24844 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 3

3 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Detailed

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/v1/badge/bojansandhaus--jev-decisions-hermes)](https://agentrank-ai.com/tool/bojansandhaus--jev-decisions-hermes/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/bojansandhaus--jev-decisions-hermes/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/bojansandhaus--jev-decisions-hermes" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="bojansandhaus/jev-decisions-hermes"></script>

Details

Stars: 3
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 1
Dependents: —
Language: Python
License: MIT
Last Commit: today

Matched Queries

"agent tool"topic:mcp

See alternatives to bojansandhaus/jev-decisions-hermes → Browse mcp-server category → Best MCP Server MCP servers → Compare bojansandhaus/jev-decisions-hermes → How to Build an MCP Server in 2026 →MCP Server Comparison: Top 10 Head-to-Head →

View on GitHub →