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 SoftInstigate · MCP Server · ★ 882
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is restheart safe to install? View the security audit →
RESTHeart The Agent-Ready Backend for MongoDB RESTHeart exposes your data through a native MCP server and full REST and GraphQL APIs, so AI agents and developers can read and write without custom integration code.
| Stars | 882 |
| Forks | 178 |
| Language | Java |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 64.4515584484345/100 |
| Open Issues | 22 |
| Last Updated | 2026-08-10 |
| Created | 2014-11-16 |
| Platforms | browser, docker, java, mcp |
| Est. Tokens | ~19k |
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restheart is The Agent-Ready Backend for MongoDB.. It is categorized as a MCP Server with 882 GitHub stars.
restheart is primarily written in Java. It covers topics such as ai-agents, data-persistence, database.
You can find installation instructions and usage details in the restheart GitHub repository at github.com/SoftInstigate/restheart. The project has 882 stars and 178 forks, indicating an active community.
restheart is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to restheart on Agent Skills Hub include data-api-builder, EDDI, postman-mcp-server. 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: