ToolTrust
A0/100
hanyeol

model-compose

mcp0.4.120

@hanyeol

Declarative AI pipelines in one YAML file. Tokens, audio chunks, and video frames flow between isolated components. Compose 100+ components for models, agents, speech, vision, and live broadcast. Run local models, cloud APIs, or both. Inspired by docker-compose.

By hanyeol | 1 findings | Scanned 10/26/2026 | tooltrust-scanner/v0.3.20 | 120

Repository health

Popularity and maintenance signals alongside the security grade.

View repository
Stars

120

current snapshot

Forks

Not collected

GitHub metadata pending

Contributors

Not collected

GitHub metadata pending

Last commit

Not collected

GitHub metadata pending

Last release

Not collected

GitHub metadata pending

Release version

Not collected

Latest GitHub release

Stars trend

Daily star additions · githubarchive_bq · observed through Oct 3, 2026 · export updated Oct 26, 2026

3d
2026-09-112026-09-17

Pull request activity

Weekly PR events · githubarchive_bq · observed through Oct 3, 2026 · export updated Oct 26, 2026

2026-09-072026-09-14

Data quality: observed_events. Charts show observed events, not a reconstructed historical total.

PythonMITDeveloper ToolsLast scan Oct 26, 2026
1 Info

Risk Summary

Safe With Normal Controls

Dep Visibility is the main signal, but overall risk remains within an acceptable range.

Potential impact: This finding indicates the tool should be reviewed before it is trusted.

Recommended action: No high-risk findings were detected in this scan, but you should still apply least-privilege defaults and rescan after changes.

Suggested policy: keep this tool behind manual approval, do not allow unattended runs, and re-scan after narrowing risky permissions.

Security Findings (1)

  • InfoAS-014

    ℹ️Dependency Inventory Unavailable

    check_local_viability:Tool did not expose metadata.dependencies or repo_url, so supply-chain coverage is limited.

    Fix: Review and remediate the identified issue.

Scan this tool yourself

Reproduce this audit locally, integrate into CI, or let your agent audit its own tools.

Install once, then scan any MCP server:

$ curl -sfL https://raw.githubusercontent.com/AgentSafe-AI/tooltrust-scanner/main/install.sh | bash
$ tooltrust-scanner scan --server "npx -y model-compose"

Adjust the package name if your npm registry name differs from the tool ID. View source

Add badge to your README

Copy this Markdown to show your ToolTrust grade on GitHub.

[![ToolTrust Grade A](https://raw.githubusercontent.com/AgentSafe-AI/tooltrust-directory/main/docs/badges/grade-a.svg)](https://github.com/AgentSafe-AI/tooltrust-directory)