---
title: "MiniMax-MCP trust report"
type: "trust-report"
slug: "minimax-ai-minimax-mcp"
canonical_url: "https://www.graphcanon.com/tools/minimax-ai-minimax-mcp/trust"
computed_at: "2026-07-11T12:10:39.138Z"
maintenance_label: "Steady"
security_status: "findings"
---

# MiniMax-MCP trust report

_Sourced [trust signals](/glossary/trust-and-signals/trust-signal) from public GitHub metadata and optional dependency [security scans](/glossary/trust-and-signals/security-scan). Not a security guarantee._

## Maintenance

- Label: Steady (60% recency signal)
- Days since last push: 51
- Methodology: github_public_v1

## Provenance

- GitHub repo id: 963737260
- Not a fork
- Owner type: Organization
- Computed at: 2026-07-11T12:10:39.138Z
- Methodology: github_public_v1

## Security scan

- Status: Findings present (0 critical, 0 high, 0 medium, 2 low) · last scan 2026-07-11T12:10:45.656Z

### Findings

- **low**: stdio transport declared in pyproject.toml (pyproject.toml)
- **low**: FastMCP or MCP server entrypoint declared in pyproject.toml (pyproject.toml)

## Method and caveats

These are heuristics from public GitHub data and optional dependency scans, sourced and dated. 
"No criticals found on 2026-07-11" is not a guarantee of safety.
See the full methodology: [/trust-methodology](/trust-methodology.md).

## Common questions

### Is MiniMax-MCP maintained?

GraphCanon rates MiniMax-MCP "Steady" (60% maintenance signal from public GitHub metadata, computed 1d). Last push was 51 days ago. This is a recency heuristic, not a guarantee the project will stay maintained.

### Is MiniMax-MCP safe to use?

Last scanned 1d (mcp_manifest profile). Status: 2 low - 2 low finding(s) in the latest scan. GraphCanon does not claim the project is safe or vulnerability-free; review findings on the trust report. GraphCanon does not certify MiniMax-MCP as safe - review maintenance, provenance, and scan findings on this page before adopting.

### Is MiniMax-MCP a fork?

No. MiniMax-MCP is not flagged as a fork in GitHub metadata at the time of the last refresh.

### Does MiniMax-MCP have known security vulnerabilities?

Last scanned 1d (mcp_manifest profile). Status: 2 low - 2 low finding(s) in the latest scan. GraphCanon does not claim the project is safe or vulnerability-free; review findings on the trust report.

### How often is the MiniMax-MCP trust report updated?

Trust signals refresh on GitHub ingest/refresh cycles and optional dependency/MCP scans. This report was computed 1d (methodology github_public_v1).

### What does GraphCanon never claim about MiniMax-MCP?

We never publish a composite safety grade, pen-test endorsement, or "verified secure" label for MiniMax-MCP. Signals are sourced heuristics with explicit limits - see [trust methodology](/trust-methodology).

### How does GraphCanon assess trust for MiniMax-MCP?

Signals are sourced from public GitHub metadata and optional dependency/MCP manifest scans, each tagged with methodology version and computed date. GraphCanon does not publish a composite safety grade. Read [trust methodology](/trust-methodology) for full scope and limits.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/minimax-ai-minimax-mcp/trust`](/api/graphcanon/tools/minimax-ai-minimax-mcp/trust)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_