No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Dicklesworthstone · MCP Server · ★ 171
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp_agent_mail_rust safe to install? View the security audit →
MCP Agent Mail (Rust) "It's like Gmail for your coding agents!" A mail-like coordination layer for AI coding agents, exposed as an MCP server with 34 tools and 20+ resources, Git-backed archive, SQLite indexing, and an interactive 15-screen TUI operations console. The Rust rewrite of the original Python project (1,700+ stars). Supported agents: Claude Code, Codex CLI, Gemini CLI, GitHub Copilot CLI, and any MCP-compatible client. Watch the 23-minute walkthrough to see seven AI coding agents send over 1,000 messages to each other while implementing a development plan over two days. Quick Install Works on L
| Stars | 171 |
| Forks | 37 |
| Language | Rust |
| Category | MCP Server |
| Quality Score | 69.0337122162398/100 |
| Open Issues | 15 |
| Last Updated | 2026-09-23 |
| Created | 2026-02-05 |
| Platforms | mcp, rust |
| Est. Tokens | ~34k |
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mcp_agent_mail_rust is Rust MCP server for multi-agent coordination: 34 tools, Git-backed archive, SQLite indexing, advisory file locks, and an interactive TUI console. It is categorized as a MCP Server with 171 GitHub stars.
mcp_agent_mail_rust is primarily written in Rust. It covers topics such as ai-agents, coordination, mcp.
You can find installation instructions and usage details in the mcp_agent_mail_rust GitHub repository at github.com/Dicklesworthstone/mcp_agent_mail_rust. The project has 171 stars and 37 forks, indicating an active community.
The top alternatives to mcp_agent_mail_rust on Agent Skills Hub include vestige, bridle, agnix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: