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MCP server · Agents

GMAS

Dynamic graph runtime for building, adapting, and observing multi-agent LLM systems in Python.

39Low

Scored 21 days ago · breakdown

About GMAS

GMAS is an MCP server published by frontier-ai-next in the Agents category: dynamic graph runtime for building, adapting, and observing multi-agent LLM systems in Python.

The repository has 28 stars and 0 forks, with the last commit 2 months ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/frontier-ai-next/gMAS

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

6 checks have not been run yet.

Releases

v0.1.2gMAS v0.1.2 · 12 Aug 2026Full Changelog: https://github.com/frontier-ai-next/gMAS/compare/v0.1.1...v0.1.2
v0.1.1gMAS v0.1.1 · 12 Aug 2026Full Changelog: https://github.com/frontier-ai-next/gMAS/compare/v0.1.0...v0.1.1
v0.1.0gMAS v0.1.0 · 22 Jul 2026Full Changelog: https://github.com/frontier-ai-next/gMAS/commits/v0.1.0
Questions

About GMAS

How do I install GMAS?

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

Is GMAS safe to use with an AI agent?

Its trust score is 39 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 GMAS still maintained?

Yes — the latest release is v0.1.2 (12 Aug 2026), and the last commit was 2 months ago. The repository has 28 stars.