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 spring-attic · MCP Server · ★ 204
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is spring-ai-mcp safe to install? View the security audit →
NOTE: This project has been graduated and moved to the MCP Java SDK and Spring AI MCP. See you there! This repository is now archived. Java & Spring MCP Set of projects that provide Java SDK and Spring Framework integration for the Model Context Protocol. It enables Java applications to interact with AI models and tools through a standardized interface, supporting both synchronous and asynchronous communication patterns. 📚 Reference Documentation For comprehensive guides and API documentation, visit the Spring AI MCP Reference Documentation. Projects MCP Java SDK Java implementation of the Model Context Protocol specification. It includes: Synchronous and asynchronous [MCP Client](h
| Stars | 204 |
| Forks | 50 |
| Language | Java |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 75.9897517761722/100 |
| Open Issues | 5 |
| Last Updated | 2025-02-14 |
| Created | 2024-12-06 |
| Platforms | java, mcp |
| Est. Tokens | ~259k |
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spring-ai-mcp is Java SDK for the Model Context Protocol (MCP), providing seamless integration between Java and Spring applications and MCP-compliant AI models and tools.. It is categorized as a MCP Server with 204 GitHub stars.
spring-ai-mcp is primarily written in Java. It covers topics such as ai, java, mcp.
You can find installation instructions and usage details in the spring-ai-mcp GitHub repository at github.com/spring-attic/spring-ai-mcp. The project has 204 stars and 50 forks, indicating an active community.
spring-ai-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to spring-ai-mcp on Agent Skills Hub include api2mcp4j, azure-ai-travel-agents, spring-plugin. 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: